Device and method to process images and device and method of images display

FIELD: physics.

SUBSTANCE: device comprises a module (101) for detection of a movement vector, which detects a vector of movement in each earlier specified area between frames of the introduced image signal, and a module (2) for identification of circuits, which emphasizes a high-frequency component of the introduced image and a signal of an interpolated image, formed by means of a module (100) for conversion of frame frequency (FRC-module), according to the value of movement of the introduced image signal detected by means of the module (101) for detection of a movement vector. This is compensated by a high-frequency component weakened by means of an image sensor effect of integration in time, to reduce visible blur of moving object images to increase sharpness of a displayed image. By setting an extent (a level) of the interpolated image signal circuits as a lower extent of the signal of the introduced image, the sharpness of the displayed message increases without isolation of the interpolated image signal image deterioration.

EFFECT: displaying video of high sharpness by means of reducing blur of images of moving objects of the displayed video as a result of the image sensor effect of integration in time.

12 cl, 16 dwg

 

The technical field to which the invention relates

The present invention relates to display image and the display method of the imaging device, and imaging device and method of image processing devices, allowing the view of the displayed video in high definition by reducing the blur of moving objects displayed video due to the effect of time integration of sensor images.

The level of technology

Compared with the traditional cathode ray tubes (CRT), mainly used for the implementation of the moving image, LCD (liquid crystal displays) have the disadvantage that the so-called blurring the images of moving objects, which is the blurring of the contour of the moving parts, the perceived viewing the image with the move. It should be stated that this blurring of images of moving objects is the result of the operation of the system, the LCD display (see, for example, a detailed description of the patent (Japan) room 3295437, Hidekazu Ishiguro and Taiichiro Kurita, "Consideration on Motion Picture Quality of the Hold Type Display with the octuplerate CRT", IEICE Technical Report, Institute of Electronics, Information and Communication Engineers, EID96-4 (1996-06), p.19-26).

Since the fluorescent material is scanned by an electron beam to cause light emission for display in the CRT light emission of each pixel is, in fact, impulsepay, although a small afterglow fluorescent material exists. This is called the display of the pulse type. On the other hand, in the case of the LCD electric charge accumulated by application of an electric field to the liquid crystal remains in relatively high proportions up until not applied the following electric field. In particular, in the case of TFT-system, since the TFT switch is located for each pixel that configures the pixel, and typically, each pixel has additional capacity, the ability to retain stored charge is extremely high. Therefore, light emission lasts as long as the pixels are not overwritten by application of an electric field based on the information of the image of the next frame or field (further in this document is provided by frame). This is called system display restraint type.

Since the impulse response of the light image has a temporal spread in the above-mentioned display system restraint type, special frequency characteristics deteriorate as time-frequency characteristics deteriorate, and there is a blurring of images of moving objects. Poskolkulitsa eyes can smoothly follow a moving object, if the light emission is significant, as in the case of holding type, the moving image looks choppy and unnatural due to the effects of time integration.

In order to reduce blurring of images of moving objects in the above-mentioned display system restraint type, applies a known technique for converting the frame rate (number of frames) by the interpolation image between frames. This technology is called FRC (frequency Converter frame), and it is put into practical use in liquid crystal display devices, etc.

Traditionally known methods of frequency conversion frames include various technologies such as the simple repetition of reading the same frame and the interpolation frame using linear interpolation between frames (see, for example, Tatsuro Yamauchi, TV Standards Conversion, Journal of the Institute of Television Engineers of Japan, publication 45, number 12, str-1543 (1991)). However, in the case of treatment with interpolated frames using linear interpolation formed unnatural movement (discontinuity, jitter) due to frame-rate conversion and distortion in the shape of a blur moving objects, due to the system display restraint type cannot be is sufficiently reduced, leading to insufficient image quality.

In order to eliminate the effects stutter, etc. and to improve the quality of moving images, the proposed processing of the interpolation frame by motion compensation using the motion vectors. Since the moving image is captured, in order to compensate for the moving image in this process, a very natural moving images can be obtained without reducing the resolution and the formation of a stutter. Because the signals are interpolated images are generated by motion compensation, the distortion in the shape of a blur moving objects, due to the aforementioned display system restraint type, can be sufficiently reduced.

The above detailed description of the patent (Japan) room 3295437 discloses technology adaptive to the motion of the formation of the interpolated frames to increase the frame rate of the displayed image to reduce the deterioration of the spatial-frequency characteristics that cause blurring of images of moving objects. In this case, at least one signal interpolated pictures, the interpolated between frames of the displayed image, creates adaptive to the movement of the previous and subsequent frames, and created si is Nala interpolated image is interpolated between the frames and sequentially displayed.

Figure 1 is a block diagram of a schematic configuration of a control circuit of the display with FRC in conventional liquid-crystal display device, and figure 1 is a control diagram of the display with the FRC includes FRC module 100, which converts the number of frames of the input image signal by interpolating the image signals subjected to the processing of motion compensation between frames of the input video signal, the liquid crystal display panel 203 has an active matrix, having a liquid crystal layer and the electrode for the application of the scanning signal and data signal to the liquid crystal layer, and the module 204 excitation electrodes for excitation of the scan electrode and data electrode liquid crystal display panel 203 on the basis of the signal image subjected to frame rate conversion by the FRC module 100.

FRC module 100 includes a module 101 detection of motion vectors, which detects the information of the motion vector of the input image signal, and the module 102 forming the interpolated frame, which generates interpolated frames based on the information of the motion vector obtained through module 101 detection of motion vectors.

In the above configuration, for example, the module 101 detection of motion vectors may receive information in Chora motion using the method of block-by-block comparison, gradient method, etc. or, if the information of the motion vector included in the input image in some form, this information may be used. For example, the image data is encoded or compressed using the MPEG format, include information of the motion vector of the moving image, calculated during encoding, and the information of the motion vector can be obtained.

Figure 2 is a diagram to explain the processing frame rate conversion by a conventional drive circuit of the display device with FRC, shown in figure 1. FRC module 100 generates interpolated frames (images of gray in figure 2) between frames with the processing of motion compensation by using the information of the motion vector output from the module 101 detection of motion vectors, and sequentially outputs the generated interpolation signals along with signals input frames to perform processing for converting the frame rate of the input image with 60 frames per second (60 Hz) up to 120 frames per second (120 Hz).

Figure 3 is a diagram to explain the processing of forming the interpolated frame module 101 detection of motion vectors and module 102 forming the interpolated frame. Module 101 detection of motion vectors uses a gradient method for finding the th vector 205 motion, for example, from frame #1 and frame #2, shown in figure 2. Module 101 detection of motion vectors receives the vector 205 motion by measuring the direction and amount of movement for 1/60 of a second between frame #1 and frame #2. The module 102 forming the interpolated frame then uses the received vector 205 motion to allocate interpolation vector 206 between frame #1 and frame #2. The interpolated frame 207 is formed by moving the object (in this case the car) with frame position #1 to position through 1/120 seconds based on the interpolation vector 206.

By performing interpolation processing of frames with motion compensation using the information of the motion vector in order to increase the frame rate of the display, so the display of the LCD system display restraint type) can be brought closer to the display CRT (display pulse type) and can be reduced deterioration of image quality which is caused by the blurring of images of moving objects that are generated when displaying a moving image.

When processing the interpolation frame motion compensation is important to detect motion vectors for motion compensation. For example, the method of block-by-block comparison and gradient method are proposed as obecnych technologies for the detection of the motion vector. In the gradient method, the motion vector is detected for each pixel or small block between two successive frames to interpolate each pixel or a small block of the interpolated frame between the two frames. The image at an arbitrary position between the two frames is interpolated in exactly offset position, to convert the number of frames.

Although the deterioration of image quality due to blurring of the images of moving objects caused by display restraint type, can be reduced by performing interpolation processing of frames with motion compensation, in order to increase the frame rate of the display, as described above, the input image may include blur of moving objects due to the effect of integration time of the image sensor (also called a blurring of the camera), and the image quality deteriorates due to the blur of moving objects due to the effect of integration time of the image sensor. Therefore, for example, in laid patent publication (Japan) room 2002-373330 proposal on the subject of the imaging device that removes the blurring of images of moving objects due to the effect of time integration of sensor from which the interests and increasing the sensor resolution without resulting in an unnatural image. Traditional imaging device described in patent publication laid (Japan) room 2002-373330, is described below with reference to figure 4.

Figure 4 is a functional block diagram of the configuration of a conventional imaging device. The input image is provided in the imaging device, is provided in module 111 retrieve objects, module 113 identification module 114 calculation of the dilution factor and module 115 separation of foreground/background. Module 111 retrieve objects approximately retrieves the depicted object corresponding to the foreground object included in the input image, and provides the extracted imaging object in the module 112 motion detection. For example, the module 111 retrieve objects approximately retrieves the depicted object corresponding to the foreground object by the detection circuit depicted object corresponding to the foreground object included in the input image.

Module 111 retrieve objects approximately retrieves the depicted object corresponding to the background object included in the input image, and provides the extracted imaging object in the module 112 motion detection. For example, the module 111 retrieve objects approximately extracts depicted bject, corresponding to the background object from a difference between the input picture and the depicted object corresponding to the extracted foreground object. For example, the module 111 retrieve objects can be approximated to extract the depicted object corresponding to the foreground object, and the imaging object corresponding to the background object from a difference between the background image stored in the background memory device located inside, and the input image.

Module 112 motion detection uses methods such as a method of block-by-block comparison, gradient method, phase correlation and by recursive method to compute the motion vector extracted approximately the depicted object corresponding to the foreground object, and provides the calculated motion vector and the information vector position movement information identifying the position of a pixel corresponding to a motion vector) in the module 113 identification and module 116 remove blur of moving objects. The motion vector output by module 112 motion detection, includes information corresponding to the amount of movement v. For example, the module 112 motion detection can output the motion vector of each of the depicted objects in the module 116 is of removing blur of a moving object along with information of the position of the pixels, identifying the pixels of the imaging object.

The amount of movement v is a value representing the change in position of the image corresponding to the moving object, based on pixellogo interval. For example, if the image of the object corresponding to the foreground moves to be displayed at a position four pixels in the next frame, based on a particular frame, the amount of movement v of the image of the object corresponding to the foreground, represented as four.

Module 113 identification field identifies the corresponding pixels of the input image as the foreground area, background area and the area of mixing and provides information (hereinafter in this document information field), which provides an indication of which of the foreground regions, the background region or mixture belongs to each of the pixels in the module 114 calculation of the dilution factor, the module 115 separation of foreground/background module 116 remove blur of moving objects.

Module 114 calculation of the dilution factor calculates the dilution factor (hereinafter in this document, the dilution factor (a), corresponding to the pixels included in the area of mixing, based on the input image and information of the region supplied from m the module 113 identification, and provides the calculated dilution factor module 115 separation of foreground/background. The dilution factor a is the value used as the basis of share component image (hereinafter in this document also referred to the background component corresponding to the background object.

Module 115 separation of foreground/background divides the input image partial image foreground, consisting only of components of the image (hereinafter in this document, also called components of the foreground), corresponding to the foreground objects and the background partial image consisting of only the background components based on the information region provided from module 113 identification field, and a dilution factor provided from the module 114 calculation of the dilution factor, and provides a partial foreground image in the module 116 remove blur of moving objects and background partial image in the module 117 correction.

Module 116 removing blur of a moving object determines the unit of processing, which serves as a sign of one or more pixels included in the partial image in the foreground, on the basis of the magnitude of the movement v, known from the motion vector and information areas. The processing unit is data that is the quiet indicate the group of pixels, to be processed for regulating the magnitude of the blur of moving objects. Module 116 remove blur moving objects removes the blurring of images of moving objects included in the partial image in the foreground, on the basis of partial foreground image provided from module 115 separation of foreground/background motion vector and information of its provisions, provided from the module 112 of the motion detection and processing unit and outputs the partial foreground image after removing the blur of moving objects in the module 118 of the image processing with the remote blurring of images of moving objects.

Module 117 correction corrects the pixel value of the pixel corresponding to the area of mixing in partial background image. The pixel value of the pixel corresponding to the area of mixing in the background partial image is calculated by removing the foreground component of the pixel value of the pixel region of the mixture before separation. Therefore, the pixel value of the pixel corresponding to the area of mixing in the background partial image is reduced according to the dilution factor a compared with a pixel value of the pixel adjacent background region. Module is 117 correction corrects this gain reduction, appropriate dilution factor a pixel value of the pixel corresponding to the area of mixing in partial background image, and provides the adjusted partial background image in the module 118 of the image processing with the remote blurring of images of moving objects.

Module 118 of the image processing with the remote blurring of images of moving objects applies the processing of contours allocation at different levels of selection circuits to each of the partial image foreground after removing blur of moving objects and adjusted partial background image. For the background of a partial image that is a still image, the processing of contours allocation is performed in order to highlight the contours of more than partial foreground image. This provides the possibility of increasing the perceived resolution partial background image without forming an unnatural deterioration of the image during the application process the selection of the paths to the image, which includes noise.

On the other hand, for partial foreground image processing contours allocation is performed on the lower level contours allocation compared to the background partial image. This predostavljaetsja reduce unnatural deterioration of the image while increasing the perceived resolution, even if partial foreground image after removing blur of a moving object includes noises.

The invention

Problems that must be solved by the invention of

However, the difficulty lies in the fact that the imaging device described in patent publication laid (Japan) room 2002-373330 requires module 116 remove blur moving objects to remove blur of moving objects included in the partial image foreground, and module 117 correction, which corrects the pixel values for pixels corresponding to the area of mixing, which leads to very complex processing/structure. Although this imaging device allows you to remove the blurring of images of moving objects, due to the effect of integration time of the image sensor, the image having foreground object moving relative to a stationary background, the imaging device does not allow you to delete the blurred images of moving objects in other cases, for example, from an image having not only a moving image of an object in the foreground, but also moving the background image. Impractical, if the desired effect is limited and it turns out that the are of particular content, images, as specified above.

The difficulty also lies in the fact that the imaging device described in patent publication laid (Japan) room 2002-373330, it is not possible to sufficiently increase the perceived resolution partial image foreground, because the level of allocation of partial contours of the foreground image is specified below, as unnatural deterioration of the image caused by increased levels of selection circuits, when a partial foreground image after removing blur of a moving object includes noise.

For example, laid patent publication (Japan) room 1-215185 discloses a device that detects movement of the object from the input image signal, to vary the compensation value contours (level contours allocation) for the input image signal depending on the result of motion detection, as a device that removes the blurring of images of moving objects due to the effect of integration time of the image sensor with a simple configuration. This significantly reduces blurring of images of moving objects due to the effect of integration time of the image sensor by increasing the level of selection circuits for signal input images, inaudable the amount of motion in the input image, and provides the ability to increase the sharpness of the displayed image and prevent deterioration of image quality (increasing noise in the stationary region) due to excessive secretion of paths.

If the processing frame-rate conversion with motion compensation processing of the FRC) to reduce blurring of images of moving objects corresponding to the display system restraint of the type described above, is combined with the processing of the selection circuits, which reduces blurring of images of moving objects, corresponding to the effect of integration time of the image sensor, since the detection of the motion vector in the FRC processing is performed for the image signal with the selected path if the FRC processing is configured to execute, for example, at the next processing stage of the selection circuits, which reduces blurring of images of moving objects, corresponding to the effect of integration time of the image sensor, the difficulty is that is a false detection of a motion vector when the vector calculation is performed on the basis of the smooth gradient of the image signal, as, for example, a gradient method.

Although the processing of the FRC, therefore, preferably is configured to run on the previous stage of processing in the dividing circuits, in this case, there arises the following problem. The signal interpolated image generated by processing of the FRC, which often have the deterioration of the image (the disappearance of the image)generated due to false detection of a motion vector and so on, and when the process of selection circuits, which are identical to the processing of the selection circuits for the signal of the input image, is performed for the signal interpolated image that includes this deterioration of the image, the deterioration of the image tends to stand out and be underlined.

The present invention was created in consideration of the above situations, and, therefore, the present invention is to provide a device and method for displaying images, as well as the apparatus and method of image processing, allowing the implementation of the displayed high-definition video through a simultaneous decrease the blur of moving objects corresponding to the display system restraint type, and by reducing the blur of moving objects display video corresponding to the effect of integration time of the image sensor, while simultaneously limiting the deterioration of the image.

The means of resolving problems

The first invention of this application - e is on the device display images, contains: a tool for frequency conversion, which converts the multiple frames or fields of the input image signal by interpolating the signal interpolated image generated by processing of the motion compensation to the input image, based on the information of the motion vector between the frames or fields of the input image signal between frames or fields of the input image, the input image is processed contours allocation on the first level of selection circuits, and the signal interpolated image is processed contours allocation at the second level contours allocation, below the first level contours allocation or not processed contours allocation.

The second invention of the present application is a device for displaying images, in which the processing of contours allocation increases the magnitude of the selection of the high-frequency component of the image signal for the area, with a large quantity of motion in the input image.

The third invention of the present application is a device for displaying images, in which the processing of contours allocation extends the frequency range of the selected image signal to an area that has a large amount of movement in the signal input is s image.

The fourth invention of the present application is a device for displaying images, the display device of the image varies the characteristics of the filter to highlight the contours of the image signal depending on the direction of motion in the input image.

The fifth invention of the present application is a device for displaying images, in which the tool frame-rate conversion includes a detection module of the motion vectors, which detects a motion vector between consecutive frames or fields included in the input image, the module allocation interpolation vector that allocates an interpolation vector between the frames or the fields based on the detected motion vector, the module forming the interpolated image, which generates a signal interpolated image based on the selected interpolation vector, and the module of the interpolation image, which interpolates the generated signal interpolated image between frames or fields, and obtains the amount of movement/the movement direction of the input signal image based on the motion vector detected by the detection module of the motion vectors.

The sixth invention of the present application is a display device of the image is holding a lowpass filter for smoothing the motion vector, detected by the detection module of the motion vectors.

The seventh invention of the present application is a device for displaying images, in which the tool frame-rate conversion includes a detection module of the motion vectors, which detects a motion vector between consecutive frames or fields included in the input image, the module allocation interpolation vector that allocates an interpolation vector between the frames or the fields based on the detected motion vector, the module forming the interpolated image, which generates a signal interpolated image based on the selected interpolation vector, and the module of the interpolation image, which interpolates the generated signal interpolated image between frames or fields, and obtains the amount of movement/the movement direction of the input signal image based on the interpolation vector allocated by the module selection of the interpolation vectors.

The eighth invention of the present application is a device for displaying images containing low pass filter for smoothing the interpolation vector allocated by the module selection of the interpolation vectors.

The ninth invention of the present application is a device which istwo display images, in which the tool frame-rate conversion interpolates the set of signals interpolated image between frames or fields of the input image signal and varies the level selection circuits for each signal interpolated image depending on the time distance from the signal of the input image.

The tenth invention of the present application is a method of displaying images, comprising: a step of converting the frame rate to convert the number of frames or fields of the input image signal by interpolating the signal interpolated image generated by processing of the motion compensation to the input image, based on the information of the motion vector between the frames or fields of the input image signal between frames or fields of the input image, the input image is subjected to processing of the selection circuits of the first level of selection circuits, and the signal interpolated image processed contours allocation at the second level contours allocation, below the first level contours allocation or not processed contours allocation.

The eleventh invention of the present application is an imaging device, comprising: a means for change is adowanie frame rate, which converts the multiple frames or fields of the input image signal by interpolating the signal interpolated image generated by processing of the motion compensation to the input image, based on the information of the motion vector between the frames or fields of the input image signal between frames or fields of the input image, the input image is processed contours allocation on the first level of selection circuits, and the signal interpolated image is processed contours allocation at the second level contours allocation, below the first level of selection circuits, or not processed contours allocation.

The twelfth invention of the present application is a method of image processing, comprising: a step of converting the frame rate to convert the number of frames or fields of the input image signal by interpolating the signal interpolated image generated by processing of the motion compensation to the input image, based on the information of the motion vector between the frames or fields of the input image signal between frames or fields of the input image, the input image podvergautsya contours allocation on the first level of selection circuits, and the signal interpolated image processed contours allocation at the second level contours allocation, below the first level of selection circuits, or not processed contours allocation.

The advantage of the invention

According to the present invention, the sharpness of the displayed image can be increased without any noticeable result of the deterioration of the image due to the FRC processing by job level selection circuits for signal interpolated image below the level of the selection circuits for the signal of the input image.

Brief description of drawings

Figure 1 - block diagram of the schematic configuration of a control circuit of the display with FRC in conventional liquid-crystal display device.

2 is a diagram for explanation of processing frame-rate conversion by a conventional driving circuit of a display device with FRC, shown in figure 1.

Figure 3 is a diagram to explain the processing of forming the interpolated frame detection module motion vectors and module forming the interpolated frame.

4 is a functional block diagram of the configuration of a conventional imaging device.

5 is a functional block diagram of the schematic configuration of the imaging device, which reduces blurring of images driving what I object to display images due to the effect of time integration of sensor images.

6 is a block diagram of an exemplary module configuration of the selection circuits.

7 is an explanatory diagram of operation of an exemplary module configuration of the selection circuits.

Fig is a block diagram of another exemplary configuration of the module selection paths.

Figure 9 is an explanatory diagram of another exemplary configuration of the module selection paths.

Figure 10 is a functional block diagram of the schematic configuration of the imaging device according to the first variant implementation of the present invention.

11 is a diagram for explanation of a method of forming a signal interpolated image when the frame rate is converted by a multiplier of five.

Fig functional block diagram of the schematic configuration of the imaging device according to the second variant of implementation of the present invention.

Fig is a block diagram of an exemplary configuration of the imaging device according to the third variant of implementation of the present invention.

Fig is a block diagram of an exemplary configuration of the imaging device according to the fourth variant of implementation of the present invention.

Explanation links

1 - module motion detection; 2 - module selection circuits; 21 - a high-pass filter; 22 - module gain control; 23 - summation module; 24 - filter; 100 - FRC-Odul; 101 module detecting motion vectors; 102 module forming the interpolated frame; 103 module selection interpolation vectors; 104 module converting the time axis; 105 is a frame buffer (FB); 106 module allocation vector frames; 107 - frame buffer (FB); 111 - extraction module objects; 112 - module motion detection; 113 - module identification; 114 - module calculation of the dilution factor; 115 - module separation of foreground/background; 116 module removal blur of moving objects; 117 - correction module; 118 module image processing with the remote blurring of images of moving objects; 203 - liquid crystal display panel; 204 module excitation electrodes; 205 - motion vector; 206 - interpolation vector; and 207 interpolated frame.

The preferred embodiment of the invention

The following describes preferred embodiments of the imaging device of the present invention with reference to the accompanying drawings, and the modules that are identical to the modules in the above conventional example, assigned identical reference numbers and are not described. Although the present invention is applicable to the field signals and the interpolation signals field or frame signals and the signals of the interpolated frames, the signals to the wood and signals interpolated frames are described as a typical example, since (field and frame) are in a similar relation to each other.

The module configuration of the selection circuits in the imaging device of the present invention is first explained with reference to figure 5-9. Figure 5 is a functional block diagram of the schematic configuration of the imaging device, which reduces blurring of images of moving objects displayed images due to the effect of integration time of the image sensor; Fig.6 is a block diagram of an exemplary module configuration of the selection circuit; Fig.7 is an explanatory diagram of operation of an exemplary module configuration of the selection circuit; Fig is a block diagram of another exemplary module configuration of the selection circuits and figure 9 is an explanatory diagram of another exemplary configuration of the module selection paths.

The imaging device that reduces blurring of images of moving objects displayed images due to the effect of integration time of the image sensor, includes module 1 motion detection, which detects the amount of movement of each of the predetermined pixel areas in the input image, and module 2 contours allocation, which allocates the high-frequency component signal of the input image depending on the quantities of motion in si the nale of the input image, detected by module 1 motion detection, as shown in figure 5.

Module 1 motion detection can obtain the motion vector for each pixel or small block (for example, detection unit, consisting of 8 pixels×8) between two successive frames of the input image using the method of block-by-block comparison, gradient method, etc. or if the information of the motion vector included in the input image in some form, this information may be used. For example, the image data is encoded or compressed using the MPEG format, include information of the motion vector of the moving image, calculated during encoding, and the information of the motion vector can be obtained.

Module 2 contours allocation varies the level and frequency range selection high-frequency component signal of the input image based on the motion vector detected by module 1 motion detection, and status information for him to process the selection circuits for the signal of the input image. Module 2 contours allocation can switch the level and frequency range selection high-frequency component signal of the input image within the screen depending on the distribution Majesty the h movement of the image within the screen of the input image. The image signal subjected to the adaptive motion processing sharpen through module 2 selection circuits, displays and displayed by display devices (not shown), such as a cathode ray tube or liquid crystal display panel, configured to separate or integrated manner.

Because of the high-frequency component, more likely, is attenuated due to the effect of integration time of the image sensor in the region having a large motion in the input image, module 2 contours allocation executes the corresponding processing selection circuits to compensate for weak high-frequency component. This reduces the apparent blurring of images of moving objects and may increase the sharpness of the displayed image.

6 illustrates an exemplary configuration of module 2 of the selection circuits. The input image signal is entered into the filter 21 of the upper frequencies and the adder 23. The filter 21 of the upper frequency component retrieves the image with the upper frequencies, i.e. deletes the component image having a lower frequency signal from the input image based on the input of the filter coefficient to generate a contour image signal. The input filter coefficient varies incrementally in the depending on the values of the movement, detected by module 1 motion detection. When the filtration coefficient varies, the filter 21 of the upper frequency changes the frequency of the image that is to be extracted, the frequency of the image that is to be removed, and the strengthening of the image that should be retrieved.

The contour image signal generated by the filter 21 of the upper frequencies, is provided in the module 22 gain control. Module 22 gain control increases or decreases the contour image signal provided from the filter 21 of the upper frequencies, based on the input coefficient gain control. The input coefficient of the gain control varies incrementally depending on the magnitude of the motion detected by module 1 motion detection. When the ratio gain control range, the module 22 gain control adjusts the amount of boost (the degree of attenuation) of the signal contour image.

For example, the module 22 gain control amplifies the signal contour image when you enter the coefficient of gain control that indicates the degree of amplification per unit or more, and weakens the signal contour image when you enter the coefficient of the gain control, indicating that the gain is less than unity. The contour image signal in the gain regulation which has been created by the module 22 gain control, available in the module 23 summation. Module 23 summation sums the signal of the input image and adjusted the gain of the contour image signal provided from the module 22 gain control to output the summed signal of the image.

Module 2 contours allocation, performed as described above, does not handle contours allocation (disables processing of the selection circuits to directly output the input image) in the region where the quantity of motion in the input image, for example, equal to zero. For areas with less motion in the input image, module 2 contours allocation limits frequency image extracted by the filter 21 of the upper frequency to the upper frequency and limits the degree of signal amplification contour image module 22 gain control to the unit, as shown in Fig.7(a). For areas with a large amount of motion in the input image, module 2 contours allocation extends the frequency range of an image, extracted by the filter 21 of the upper frequency to the lower side and sets the degree of amplification of the signal contour image module 22 of the adjustment gain is larger than the unit, as shown in Fig.7(b).

Because of the high-frequency component is, probably weakened due to the effect of integration time of the image sensor in the region having a large motion in the input image, the visible blurring of images of moving objects can be reduced to improve the sharpness of the displayed image, by increasing the level of selection circuits to compensate for weak high-frequency component. Because of the high-frequency component has a tendency to fall over a wider range in the region having a large motion in the input image, the visible blurring of images of moving objects can be reduced to improve the sharpness of the displayed image, by increasing the allocated frequency band signal of the input image.

Although the example module 2 selection circuits has a filter 21 of the upper frequencies and the module 22 gain control at least one of the filter 21 of the upper frequencies and the module 22 gain control can be enabled. Processing contours allocation may not be performed in areas where the quantity of motion in the input image signal is equal to zero, because the blur of moving objects (blur camera) does not occur.

Fig illustrates another exemplary configuration of module 2 of the selection circuits. In the example shown in Fig, module 2 selection circuits composed of filter 24. The filter 24 amplifies the component having the upper frequency of the signal of the input image based on the input of the filter coefficient to generate the image signal from the selected path. The input filter coefficient varies incrementally depending on the magnitude of the motion detected by module 1 motion detection. When the filtration coefficient varies, the filter 24 changes the amplification of the high frequency component signal of the input image.

For example, the input image signal is allowed to pass without modification (processing selection circuits deactivated) in the region where the quantity of motion in the input image signal is equal to zero. For areas with less motion in the input image signal, the component having the upper frequency of the input image signal, is amplified and doubled, and the component having a lower frequency signal of the input image is allowed to pass without modification, in order to form the image signal from the selected path, as shown in Fig.9(a). For areas with a large amount of motion in the input image signal, the component having the upper frequency of the signal of the input image is enhanced by a factor of 2.5, and the component having a lower frequency signal) is about image, allowed to pass without modification, in order to form the image signal from the selected path, as shown in Fig.9(b).

Because of the high-frequency component, probably weakened due to the effect of integration time of the image sensor in the region having a large motion in the input image, the visible blurring of images of moving objects can be reduced so as to increase the sharpness of the displayed image, by increasing the level of selection circuits to compensate for weak high-frequency component. On the other hand, since the high-frequency component less likely to be attenuated due to the effect of integration time of the image sensor in the region having a smaller quantity of motion in the input image, the deterioration of image quality in parts of the circuits due to excessive secretion of circuits can be prevented by reducing the level selection circuits. Because blur of moving objects (blur camera) does not occur in areas where the quantity of motion in the input image signal is equal to zero, processing contours allocation may fail. It goes without saying that the configuration of module 2 of the selection circuits of the present invention is not limited to the above is the end.

Although the method of changing the level selection circuits depending on the quantities of motion in the input image is described for the above example of the imaging device, the characteristics of the filter, for example, the shape of the outlet of the filter may vary depending on the direction of motion in the input image in addition to the quantities of motion in the input image. For example, since high-frequency component is not attenuated due to the effect of integration time of the image sensor in the vertical direction in the image signal having only horizontal movement, it is desirable to perform the filtering processing in the horizontal direction, and thus, if the motion vector detected from the input image has only a horizontal component, the shape of the exhaust filter 21 of the upper frequencies on 6 or filter 24 Fig switches to a one-dimensional horizontal row.

Similarly, if the motion vector detected from the input image has only a vertical component (if the video object is moved in the vertical direction), the filter can be switched on the filter with one-dimensional vertical form-of-way, or if the motion vector detected from the input image has a horizontal component and the vertical is the material component (if the video moves in the downward direction), the filter can be switched to the filter with an inclined form-of-way. By performing switching on the filter with such form of challenge, as isotropic or anisotropic shape or elliptical shape, it becomes possible to more perfect finish when filtering.

If the motion vector is detected based on the block motion detection, consisting, for example, 8 pixels×8 input image signal, and processing the selection circuits is controlled based on the motion vector, and performs various processing contours allocation for each of the areas of the block of pixels in 8×8, and so the boundaries of the blocks may occur artifacts (blurred image). The way to remove this undesirable effect may include, for example, providing a lowpass filter for motion vector between the module 1, the motion detection module and 2 highlight contours to smooth the motion vector. Smoothing changes the motion vector within the screen allows you to prevent artifacts on the block boundaries, formed by a sharp change in treatment selection paths.

Although natural images taken by the image sensor having the effect of time integration include blur of moving objects (blur camera), described above,animated images and images CG (computer graphics), in General, do not have the blur of moving objects (blur camera), as described above. If the high-frequency component excessively stands out in this image, which does not include blur of moving objects (blur camera), it can cause deterioration of the image contour portion. Therefore, if you enter the image signal associated with the animation or CG, it is desirable to reduce the intensity of the above-mentioned processing reduce blurring of images of moving objects (sharpen) even in the area having a large amount of motion in the input image.

For example, the type of genre that is associated with the input image may be determined based on the information of the genre are included in EPG (electronic program), selected and extracted from the data broadcast, and for example, if it is determined what type of genre the input image signal is the animation module 2 contours allocation can reduce the emission of high-frequency component or contract the selected frequency range, or the control may be made so as to disable the processing of contours allocation by module 2 contours allocation even in the area having a large amount of motion in the input image, the same as in the region of the STI, with less movement.

Similarly, when a CG image, for example, a program logo, symbols, such as telop and the icon are combined (overlapped) with a part of the natural image, it is desirable to reduce the intensity of the above-described reduction treatment blur of moving objects (sharpen) or not to perform processing for the area, combined with a CG image, even if the background natural image has a large amount of motion or if the moving speed of the CG image is high. For example, the position of the region, combined (overlapped) with the CG image, for example, the logo of the program, such characters as telop and the icon is detected from the input image, and module 2 contours allocation can reduce the emission of high-frequency component or contract the selected frequency range, or the control may be made so as to disable the processing of contours allocation by module 2 contours allocation for the region, combined (overlapped) with the CG image, similar to the area that has less movement or no movement of the image.

Since the blurring of images of moving objects due to the effect of integration time of the image sensor varies over the threaded depending on exposure time, i.e. the shutter speed of the image sensor while shooting video, it is desirable to weaken the intensity of the above-described reduction treatment blur of moving objects (sharpen), if the shutter speed during shooting of the image signal of the input image is high, i.e. the exposure time is small, even when the quantity of motion in the input image, for example, is great. Therefore, for example, if the information associated with the shutter speed while shooting video added to the data of the television broadcast, the information associated with the shutter speed can be selected and obtained from the data of the television broadcast to variably control the emission of high-frequency component through module 2 contours allocation and/or the selected frequency range, or not to perform the processing of the selection of paths depending on the information that is associated with the shutter speed.

When video is recorded, the video may be removed by focusing on all parts within the screen of image formation, or by focusing only on the parts within the screen of image formation in accordance with the intention of the operator. When focusing only on the parts within the screen of the imaging video shoots which I intentionally blurred video, in addition to the focus object. It is desirable to reduce the intensity of the above-described reduction treatment blur of moving objects (sharpen) or not to perform processing to reduce blurring of images of moving objects (sharpen) for the area removed so that she was deliberately blurred.

When the video is removed with a focus only on the parts within the screen of image formation, it is, in General, is implemented by reducing the depth of field of the camera. Depth of field is determined by various factors, such as the F-number of the camera lens, the distance between the camera and the object and the configuration modes (aperture, gain and electric iris) camera. For example, factors that reduce the depth of field, include reducing the F number of the camera lens, reducing the distance to the object or the aperture opening. Therefore, if the information associated with the depth of field is added to data of a television broadcast, for example, as metadata, information associated with the depth of field is obtained from a data broadcast, and the status of the depth of field can be defined so as to variably control the emission of high-frequency component through module 2 contours allocation and/or allocated frequent tym range, or not to execute processing of contours allocation depending on the definition.

In the detection unit of the motion vector, for example, frequency analysis, such as DCT, can be performed in order to check the magnitude of the high frequency component to detect a portion overlapping with the CG image, or a part having less blurring of images of moving objects regardless of fast motion in the image taken by a camera with fast shutter speed, as described above. If a specific block of the motion detection has a large amount of movement and a slight high-frequency component, it is a part, in which the motion is rapid, and high-frequency component is lost through razmytosti images of moving objects. In other words, it is considered to be part of a strong blurring of images of moving objects in the image taken by the camera with a slow shutter speed, and not a portion overlapping with the CG image, and a part having less blurring of images of moving objects in the image taken by the camera with a fast shutter speed. Therefore, the processing of contours allocation can be performed as usual.

On the other hand, if a specific block of the motion detection has a large quantities of the movement and a large high-frequency component, because as is, it indicates the moving part, overlapping with the CG image, or part with less blurring of images of moving objects in the image taken by the camera with a fast shutter speed, can be reduced to the level selection circuits. Through the combined analysis of the image signal and determining the magnitude of the movement and value of the high-frequency part, as described above, may be determined appropriate intensity of treatment reduce blurring of images of moving objects.

Although the above-described imaging device allows the implementation of the displayed video in high definition by reducing the blur of moving objects displayed video due to the effect of time integration regardless of the content of images, embodiments of the present invention are further described for the imaging device is preferably applicable to the display devices of the image having characteristics of the display holding type, such as liquid crystal displays, organic EL displays, and electrophoretic displays, i.e., the imaging device allowing the implementation of the displayed video in high definition by reducing as blur out the interests of moving objects displayed video due to the effect of integration time of the image sensor, and blur the images of moving objects due to the characteristics of the display holding type.

The first option exercise

The imaging device according to the first variant implementation of the present invention is described with reference to figure 10, and the modules that are identical to the modules of the above mentioned imaging device is assigned identical reference numbers and are not described. Figure 10 is a functional block diagram of the schematic configuration of the imaging device according to this variant implementation.

As shown in figure 10, the imaging device of this variant implementation includes the FRC module 100, which converts the number of frames of the input image signal by interpolating the image signals subjected to the processing of motion compensation between frames or fields of the input video signal and module 2 contours allocation, which allocates the high-frequency component of the image signal converted by the number of frames by the FRC module 100.

FRC module 100 includes a module 101 detection of motion vectors, which detects a motion vector from the input image signal of the previous frame and the input image signal of the current frame, the module 103 selection of interpolation vectors, which is canivet motion vectors, detected by module 101 detection of motion vectors, to select optimal interpolation vector for the interpolated block between frames on the basis of the evaluation module 102 forming the interpolated frame, which generates an interpolated frame using the input image of the previous frame and the input image signal of the current frame based on the interpolation vector of the input module 103 selection of interpolation vectors, and the module 104 convert the time axis, which in turn outputs the input frames and interpolated frames to output the image signal having the frame rate doubled in comparison with the original input image.

Module 2 contours allocation varies the emission of high-frequency component and the selected frequency range based on the motion vector detected by the module 101 detection of motion vectors FRC module 100 to perform processing of the selection circuits for the image signal. Module 101 detection of motion vectors according to the variant of implementation corresponds to the module 1 of the movement detection device of the image processing described with reference to figure 5, and since the high-frequency component, more likely, is attenuated due to the effect of integrated the project in time of the image sensor in the field, having a large amount of motion in the input image, module 2 contours allocation executes the corresponding processing selection circuits to compensate for weak high-frequency component.

The image signal subjected to the adaptive motion processing sharpening through module 2 selection circuits, displays and displayed by display devices (not shown), such as a liquid crystal display panel, configured to separate or integrated way. This allows you to reduce visible blur of moving objects, in order to improve the sharpness of the displayed image. When applied to the devices display images having characteristics of the display holding type display high-definition video can be realized by reducing as blur moving objects displayed video due to the effect of integration time of the image sensor, and blur of moving objects due to the characteristics of the display holding type.

Although an implementation option made with module 2 contours allocation processing of allocating circuits for signal input image and signal interpolated image is supply, generated by module 102 forming the interpolated frame FRC module 100, this is not a limitation, and processing of contours allocation can be performed only on a signal of the input image. This provides the possibility of reducing the amount of processing in module 2 contours allocation.

Although an implementation option made with module 2 contours allocation processing of allocating circuits for signal input image and signal interpolated image generated by module 102 forming the interpolated frame FRC module 100, the processing of the selection circuits for the signal of the input image may differ from the processing selection circuits for signal interpolated image.

Since the deterioration of the image (the disappearance of the image) may occur in the signal interpolated image due to a false detection of a motion vector and so on, and if processing of contours allocation is performed for this worsened the interpolated image, the part having the deterioration of the image, is processed contours allocation, and deterioration of image focus, blurred images of moving objects due to the effect of integration time of the image sensor can be apparently reduced without semen is th result of the deterioration of the image due to the conversion processing of the frame rate of the motion-compensated, in order to improve the sharpness of the image displayed by job level selection circuits for signal interpolated image below the level of the selection circuits for the signal of the input image signal of the original image) or disable the processing of contours allocation only for signal interpolated image.

For example, by reducing the frequency range allocated for signal interpolated image, so that it was less than the frequency band allocated to the input image signal of the original image), the blurring of images of moving objects due to the effect of integration time of the image sensor can be apparently reduced without a noticeable result of the deterioration of the image due to the conversion processing of the frame rate of the motion-compensated in order to improve the sharpness of the displayed image.

Although FRC module 100 according to the variant implementation is described as a module for converting the frame rate of the input image signal so that the frequency is doubled, this is not a limitation, and FRC module 100 may convert the frame rate of the input image signal by a multiplier of 1.5 or 3, or if the input image is generated from images of a movie, for example, the signal is and the images with decreasing 3-2, FRC module 100 may convert the frame rate to 120 Hz (fivefold) by extracting the signal of the main image corresponding to 24 Hz (so called reverse reduction processing 3-2), and the interpolation of the four signals interpolated image between frames.

If this is a many signals interpolated image, the processing of the selection circuits can be differentiated for each of the multiple interpolated frames. For example, if four interpolated images are generated from a unidirectional source image, as shown in figure 11(a), the fourth interpolated image, remote in time from the original image, has a longer motion vectors in comparison with the original image and causes a large calculation error during the detection of the motion vector, which may form the deterioration of the image signal interpolated image. In this case, the blurring of images of moving objects due to the effect of integration time of the image sensor can be apparently reduced without a noticeable result of the deterioration of the image, in order to improve the sharpness of the displayed image by reducing the level selection circuits for signal interpolated image, is remote in time from the signal of the original image, and improve the selection circuits for the signal of the original image signal or an interpolated image, temporarily closer to the signal source image.

If two images from the first half of the four interpolated images generated from the previous source image and two images from the second half generated from the following source image, as shown in figure 11(b), or if the interpolated image is formed by changing the ratio of addition of weights or dilution factor depending on the distance from the previous and the next original image, as shown in figure 11(c), the blurring of images of moving objects due to the effect of integration time of the image sensor can be apparently reduced without a noticeable result of the deterioration of the image, in order to improve the sharpness of the displayed image by reducing the level contours allocation for the second and third signals interpolated image at the center due to the temporal distance from the signals of the original image and by increasing the level of selection circuits for the signal of the original image or the first and fourth signals interpolated image, closer to the signal source image.

p> As described above, the imaging device variant implementation allows considerable reduction of blur of moving objects due to the effect of integration time of the image sensor so as to improve the sharpness of the displayed image, and prevention of deterioration of the image due to excessive secretion of paths through the proper management of the processing of contours allocation module 2 contours allocation depending on the magnitude of the movement in the input image signal received from the FRC module 100.

Because the processing of contours allocation is performed at the first level of selection circuits for the input image signal, and the signal interpolated image processing contours allocation is performed at the second level contours allocation below the first level of selection circuits, or processing of contours allocation is not performed, even if the deterioration of the image occurs in the signal interpolated image, the sharpness of the displayed image can be improved without noticeable degradation of the image.

It is desirable to prevent artifacts generated due to abrupt changes in the processing of contours allocation within the screen, through the provision of a lowpass filter for motion vector between the module 10 discovery ve is tori movement and module 2 of the selection circuits, to smooth the change of the motion vector within the screen, as described above.

In the case of this variant implementation, because the processing of contours allocation is performed after the processing of the FRC processing of detecting the motion vector in the module 101 detection of motion vectors FRC module 100 can stably operate without influence from the processing selection circuits. Since the information of the motion vector generated by the module 101 detection of motion vectors is used directly, this option may not be realized with a simple configuration compared with the third and fourth variants of the implementation that is described later.

However, although the original image and the interpolated image are alternately displayed in the output image signal FRC module 100, the module 2 contours allocation directly applies the information of the motion vector generated by the FRC module 100, as to the original image and the interpolated image, and as a result, accurate machining of contours allocation could not be performed for the interpolated image. Because the signal of the motion vector generated by the FRC module 100 has a magnitude of the movement and the position corresponding to the input image signal and the signal interpole is consistent image, it is desirable to perform the processing of contours allocation only for the signal of the input image signal of the original image), if you use the information of the motion vector generated by the FRC module 100. Other ways to solve the problems described above are described below as the third and fourth variants of the implementation.

The second option exercise

The imaging device according to the second variant of implementation of the present invention is described with reference to Fig, and the modules that are identical to the modules of the above mentioned imaging device is assigned identical reference numbers and are not described. Fig is a functional block diagram of the schematic configuration of the imaging device according to this variant implementation.

The imaging device of this variant implementation, similar to the first variant implementation, includes the FRC module 100, which converts the number of frames of the input image signal by interpolating the image signals subjected to the processing of motion compensation between frames or fields of the input video signal and module 2 contours allocation, which allocates the high-frequency component of the image signal converted by the number of frames by the FRC module 100. Although the processing of the selected what I outline module 2 selection circuits controlled variable on the basis of the motion vector, detected by module 101 detection of motion vectors in the first embodiment, this implementation is configured to variably control the processing of contours allocation module 2 contours allocation based on the interpolation vector, evaluated/selected by module 103 selection of interpolation vectors.

Processing the selection of the interpolation vector is described below. It is assumed that the motion vector detected by the module 101 detection of motion vectors is the motion vector for the signal n-1 of the input image of the previous frame. For each of the blocks detection of the motion vector signal n-1 of the input image, the motion vector of each block detection of the motion vector indicates the position at which the block is moved in the signal n of the input image of the next frame. For example, if the frame rate is doubled, the time position of the interpolated frame is an intermediate position between the signal n-1 of the input image and signal n of the input image. Consequently, executes processing to get what block of the interpolated frame is attached, each of the motion vectors of the signal n-1 of the input image when the motion vectors are transferred to the temporary position of the interpolated frame, and ever shall be the motion vectors attached units. This treatment allocation interpolation vectors for the interpolated frame.

The interpolated blocks, which are allocated to the appropriate interpolation vectors by module 103 selection of the interpolation vectors are usually defined by means of additional separation unit detecting motion vectors to detect a motion vector module 101 detection of motion vectors. For example, if the detection unit motion vector has 8×8 pixels, the interpolated block is defined to be 2×4 pixels, obtained by further dividing the block detection of the motion vector into eight parts.

Module 103 selection of interpolation vectors allocates more suitable interpolation vector of the interpolated block by calculating the difference (called DFD (difference offset fields)) between information images detected block and the information of the image block specified by the motion vector of the detected block, in order to assess the accuracy of the motion vector obtained through module 101 detection of motion vectors. DFD is the index that serves as a sign of the degree of accuracy version of the vector, and a smaller value DFD indicates that the detected block is better suited for the block specified by the vector DWI the value of the detected block, and that the corresponding variant of the vector is more appropriate.

Therefore, since the emission of the high frequency component by means of module 2 of the selection circuits and the selected frequency range will vary based on the interpolation of the vector obtained by module 103 selection of interpolation vectors FRC module 100 in this embodiment, the processing of contours allocation can be performed more accurately and correctly, at least for signal interpolated image signal of the image output FRC module 100.

Although an implementation option is configured such that the module 2 contours allocation performs the processing of the selection circuits for the signal of the input image and signal interpolated image generated by module 102 forming the interpolated frame FRC module 100, this is not a limitation, and processing of contours allocation can be performed only on a signal of the input image. This provides the possibility of reducing the amount of processing in module 2 contours allocation.

Although an implementation option is configured such that the module 2 contours allocation performs the processing of the selection circuits for the signal of the input image and signal interpolated image, which is imago through module 102 forming the interpolated frame FRC module 100, processing the selection circuits for the signal of the input image may differ from the processing selection circuits for signal interpolated image.

Since the deterioration of the image (the disappearance of the image) may occur in the signal interpolated image due to a false detection of a motion vector and so on, and if processing of contours allocation is performed for this worsened the interpolated image, the part having the deterioration of the image, is processed contours allocation, and deterioration of image focus, blurred images of moving objects due to the effect of integration time of the image sensor can be apparently reduced without a noticeable result of the deterioration of the image due to the conversion processing of the frame rate of the motion-compensated so as to increase the sharpness of the image displayed by job level selection circuits for signal interpolated image below level selection circuits for signal input the image signal of the original image) or disable the processing of contours allocation only for signal interpolated image.

For example, by reducing the frequency range which must be accented for signal interpolated and what the considerations applying so to be less than the frequency range which must be accented for the signal of the input image signal of the original image), the blurring of images of moving objects due to the effect of integration time of the image sensor can be apparently reduced without a noticeable result of the deterioration of the image due to the conversion processing of the frame rate of the motion-compensated so as to increase the sharpness of the displayed image.

Although FRC module 100 according to the variant implementation is described as a module for converting the frame rate of the input image signal so that the frequency is doubled, this is not a limitation, and FRC module 100 may convert the frame rate of the input image signal by a multiplier of 1.5 or 3, or if the input image is generated from images of a movie, for example, the image signal with decreasing 3-2, FRC module 100 may convert the frame rate to 120 Hz (fivefold) by extracting the signal of the main image corresponding to 24 Hz (so called reverse reduction processing 3-2), and interpolation of the four signals interpolated image between frames.

If many signals interpolated image is generated, processing of the selection circuits can be the ü differentiated for each of the multiple interpolated frames. For example, if four interpolated images are generated from a unidirectional source image, as shown in figure 11(a), the fourth interpolated image, remote in time from the original image, has a longer motion vectors in comparison with the original image and causes a large calculation error during the detection of the motion vector, which may form the deterioration of the image signal interpolated image. In this case, the blurring of images of moving objects due to the effect of integration time of the image sensor can be apparently reduced without a noticeable result of the deterioration of the image, in order to improve the sharpness of the displayed image by reducing the level selection circuits for signal interpolated image, remote in time from the signal of the original image, and improve the selection circuits for the signal of the original image signal or an interpolated image, temporarily closer to the signal source image.

If two images from the first half of the four interpolated images generated from the previous source image, and two images from the second half generated from the following source image, as shown in figure 11(b), or clientempowerment image formed by changing the ratio of addition of weights or dilution factor depending on the distance from the previous and next source images, as shown in figure 11(c), the blurring of images of moving objects due to the effect of integration time of the image sensor can be apparently reduced without a noticeable result of the deterioration of the image, in order to improve the sharpness of the displayed image by reducing the level selection circuits for the second and third signals interpolated image at the center due to the temporal distance from the signals of the original image and by increasing the level of selection circuits for the signal of the original image or the first and fourth signals interpolated image, closer to the signal source image.

As described above, the imaging device variant implementation allows considerable reduction of blur of moving objects due to the effect of integration time of the image sensor to improve the sharpness of the displayed image, and prevention of deterioration of the image due to excessive secretion of paths through the proper management of the processing of contours allocation module 2 contours allocation depending on the magnitude of the movement in the input image obtained by the FRC module 100.

Because the processing of contours allocation is performed at the first level selection circuit is in signal of the input image, as for the signal interpolated image processing contours allocation is performed at the second level contours allocation below the first level of selection circuits, or processing of contours allocation is not performed, even if the deterioration of the image occurs in the signal interpolated image, the sharpness of the displayed image can be improved without noticeable degradation of the image.

It is desirable to prevent artifacts generated due to abrupt changes in the processing of contours allocation within the screen, through the provision of a lowpass filter for motion vector between the module 103 allocation vector interpolation module and 2 highlight contours to smooth the change of the motion vector within the screen.

In the case of this variant implementation, the processing of detecting the motion vector in the module 101 detection of motion vectors FRC module 100 can stably be performed without influence from the processing selection circuits. Since the information of the motion vector allocated by module 103 allocation vectors interpolation FRC module 100 is used directly, this option may not be realized with a simple configuration compared with the third and fourth variants of the implementation that is described later.

However, although the original image is agenie and the interpolated image are alternately displayed in the output image signal FRC module 100, module 2 contours allocation directly applies the information vector interpolation generated by the FRC module 100, as to the original image and the interpolated image, and as a result, accurate machining of contours allocation could not be performed for the original image. Solutions to the above problems is described below as the third and fourth variants of the implementation.

A third option exercise

The imaging device according to the third variant of implementation of the present invention is described with reference to Fig, and the modules that are identical to the modules of the above mentioned imaging device is assigned identical reference numbers and are not described. Fig is a block diagram of an exemplary configuration of the imaging device according to this variant implementation.

On Fig module 101 detection of motion vectors obtains a motion vector for each of the blocks of the motion detection signal from n-1 of the input image of the previous frame, the detainee through a frame buffer (FB) 105, and the signal n of the input image of the current frame. Module 103 selection of interpolation vectors uses the detected motion vector in order to select the appropriate vector V to highlight the interpolated frame. The module 102 Fort is investing interpolated frames uses a dedicated vector V, in order to form and output an interpolated image frame along with the vector V. the Module 106 allocation vector frames uses the motion vector obtained through module 101 detection of motion vectors in order to select the appropriate vector V to the source frame, and outputs the selected vector V.

The selection of the appropriate vector V to the source frame is to be processed, which is identical to the treatment allocation vectors for the interpolated frame, described in the second embodiment, also for the original frame. Although the motion vector detected by the module 101 detection of motion vectors, originally is the motion vector for the signal n of the input image, which is the original frame, it serves as a vector for the block detection of the motion vector. Processing to re-allocate the motion vector for the interpolated block is executed. If the interpolated block has the same size as the block detection of the motion vector, the motion vector can be used without changes. If the interpolated block is less than a block detection of the motion vector re-selection.

The module 104 convert the time axis alternately outputs the interpolated frames, the output of m is module 102 forming the interpolated frame, and the original frames to output the image signal having twice the frame rate in comparison with the original input image, in module 2 of the selection circuits. The module 104 convert the time axis displays the selected vector V, the output from the module 102 forming the interpolated frame, at the same time as the output of the interpolated frame, and outputs the selected vector V, the output module 106 allocation vector frames, at the same time as the conclusion of the original frame.

Module 2 contours allocation performs the processing of the selection circuits for the image signal having the converted frame rate, based on the selected vector V, the output from the module 104 convert the time axis. When the selected vector V more level contours allocation increases additionally or selected frequency range is additionally extended to compensate for the high frequency component is weakened due to the effect of time integration of sensor images.

Although an implementation option is configured such that the module 2 contours allocation processing of allocating circuits for signal interpolated image and the input image signal of the original image), this is not a limitation, and processing of contours allocation can b shall be performed only on a signal of the input image. This provides the possibility of reducing the size of the processing module 2 of the selection circuits.

Although an implementation option is configured such that the module 2 contours allocation performs the processing of the selection circuits for the signal of the input image and signal interpolated image generated by module 102 forming the interpolated frame FRC module 100, the processing of the selection circuits for the signal of the input image may differ from the processing selection circuits for signal interpolated image.

Since the deterioration of the image (the disappearance of the image) may occur in the signal interpolated image due to a false detection of a motion vector and so on, and if processing of contours allocation is performed for this worsened the interpolated image, the part having the deterioration of the image subjected to the processing selection circuits, and the deterioration of the image becomes noticeable blurring the images of moving objects due to the effect of integration time of the image sensor can be apparently reduced without a noticeable result of the deterioration of the image due to the conversion processing of the frame with motion compensation to improve the sharpness of the displayed image through at the project level selection circuits for signal interpolated image below contours allocation for signal of the input image signal of the original image) or disable the processing of contours allocation only for signal interpolated image.

For example, by reducing the frequency range which must be accented for signal interpolated image, so as to be less than the frequency range which must be accented for the signal of the input image signal of the original image), the blurring of images of moving objects due to the effect of integration time of the image sensor can be apparently reduced without a noticeable result of the deterioration of the image due to the conversion processing of the frame with motion compensation to improve the sharpness of the displayed image.

Although FRC module 100 according to the variant implementation is described as a module for converting the frame rate of the input image so that it is doubled, this is not a limitation, and FRC module 100 may convert the frame rate of the input image signal by a multiplier of 1.5 or 3, or if the input image is generated from images of a movie, for example, the image signal with decreasing 3-2, FRC module 100 may convert the frame rate to 120 Hz (fivefold) by extracting the signal of the main image corresponding to 24 Hz (so called reverse reduction processing 3-2), and interpo is acii four signals interpolated image between frames.

If many signals interpolated image is generated, processing of the selection circuits can be differentiated for each of the multiple interpolated frames. For example, if four interpolated images are generated from a unidirectional source image, as shown in figure 11(a), the fourth interpolated image, remote in time from the original image, has a longer motion vectors in comparison with the original image and causes a large calculation error during the detection of the motion vector, which may form the deterioration of the image signal interpolated image. In this case, the blurring of images of moving objects due to the effect of integration time of the image sensor can be apparently reduced without a noticeable result of the deterioration of the image, in order to improve the sharpness of the displayed image by reducing the level selection circuits for signal interpolated image, remote in time from the signal of the original image, and improve the selection circuits for the signal of the original image signal or an interpolated image, temporarily closer to the signal source image.

If two images from the first half of the four interpolated and the views generated from the previous source image and two images from the second half generated from the following source image, as shown in figure 11(b), or if the interpolated image is formed by changing the ratio of addition of weights or dilution factor depending on the distance from the previous and the next original image, as shown in figure 11(c), the blurring of images of moving objects due to the effect of integration time of the image sensor can be apparently reduced without a noticeable result of the deterioration of the image, in order to improve the sharpness of the displayed image by reducing the level selection circuits for the second and third signals interpolated image at the center due to the temporal distance from the signals of the original image and by increasing the level of selection circuits for the signal of the original image or the first and fourth signals interpolated image, closer to the signal source image.

Although an implementation option is configured such that the module 101 detection of motion vectors detects the motion vector for the source frame n, the module 106 allocation vector frames allocates the motion vector for the source frame n, and the module 104 convert the time axis alternately displays the interpolated frame and the original frame n, such a configuration that detects motion vector is carried out for the original frame n-1, module 106 allocation vector frames allocates the motion vector for the source frame n-1, and the module 104 convert the time axis alternately displays the original frame n-1 and the interpolated frame can be used.

As described above, the imaging device variant implementation allows for a visible reduction of blur of moving objects due to the effect of integration time of the image sensor to improve the sharpness of the displayed image and the prevention of deterioration of the image due to excessive secretion of contours, because appropriate treatment of the contours allocation is performed for each of the image signal interpolated frame and the image signal of the original frame in FRC module 100, depending on the magnitude of the movement of the image.

Because the processing of contours allocation is performed at the first level of selection circuits for the input image signal, and the signal interpolated image processing contours allocation is performed at the second level contours allocation below the first selected level contours or machining contours allocation is not performed, even if the deterioration of the image occurs in the signal interpolated image, the sharpness of the displayed image can be improved bessemenov degrading the image.

In the case of this variant implementation, the processing of detecting the motion vector in the module 101 detection of motion vectors FRC module 100 can stably be performed without influence from the processing selection circuits. Because the processing of contours allocation is performed after the selection of vectors is performed for each of the source frame and the interpolated frame, more accurate machining of contours allocation can be performed in comparison with the first and second variants of the implementation.

The fourth option exercise

The imaging device according to the fourth variant of implementation of the present invention is described with reference to Fig, and the modules that are identical to the modules of the above mentioned imaging device is assigned identical reference numbers and are not described. Fig is a block diagram of an exemplary configuration of the imaging device according to this variant implementation.

The imaging device according to this variant implementation is similar to imaging device according to a third variant of the implementation shown in Fig. Differences from the third draft of the implementation lies in the fact that the module selection circuits provided in FRC module 100 and extends to two modules 2A and 2B vydelenijami and that the order of module selection circuits and module 104 convert the time axis is reversed.

Module 2A contours allocation performs the processing of the selection circuits for the image signal of the interpolated frame based on the selected vector V, the output from the module 102 forming the interpolated frame. Module 2B contours allocation performs the processing of the selection circuits for the image signal of the original frame based on the selected vector V, the output module 106 allocation vector frames. When the selected vector V more level contours allocation increases additionally or selected frequency range is additionally extended to compensate for the high frequency component is weakened due to the effect of time integration of sensor images.

The module 104 convert the time axis alternately outputs the interpolated frames output from module 2A contours allocation, and the frames output from module 2B of the selection circuits to output the image signal having twice the frame rate in comparison with the original input image.

Although an implementation option is configured such that the module 2A contours allocation and module 2B contours allocation processes of selection circuits for signal interpolated image and the input image signal of the original image), it is not the tsya limitation, and processing of contours allocation can be performed only on a signal of the input image. For example, since the deterioration of the image may occur in the signal interpolated image generated by module 102 forming the interpolated frame, due to false detection of a motion vector etc., module 2A contours allocation processing of allocating circuits for signal interpolated image may be omitted. The configuration can be simplified by eliminating module 2A contours allocation, as described above.

Although an implementation option is configured such that the module 2A contours allocation and module 2B contours allocation processes of selection circuits for signal input image and signal interpolated image generated by module 102 forming the interpolated frame FRC module 100, the processing of the selection circuits for the signal of the input image may differ from the processing selection circuits for signal interpolated image.

Since the deterioration of the image (the disappearance of the image) may occur in the signal interpolated image due to a false detection of a motion vector and so on, and if processing of contours allocation is performed for this worsened interpolirovanii image, the part with the deterioration of the image subjected to the processing selection circuits, and the deterioration of the image becomes noticeable blurring the images of moving objects due to the effect of integration time of the image sensor can be apparently reduced without a noticeable result of the deterioration of the image due to the conversion processing of the frame with motion compensation to improve the sharpness of the image displayed by job level selection circuits for signal interpolated image below the level of the selection circuits for the signal of the input image signal of the original image) or disable the processing of contours allocation only for signal interpolated image.

For example, by reducing the frequency range which must be accented for signal interpolated image, so as to be less than the frequency range which must be accented for the signal of the input image signal of the original image), the blurring of images of moving objects due to the effect of integration time of the image sensor can be apparently reduced without a noticeable result of the deterioration of the image due to the conversion processing of the frame rate of the motion-compensated, so that increases the ü sharpness of the displayed image.

Although FRC module 100 according to the variant implementation is described as a module for converting the frame rate of the input image so that it is doubled, this is not a limitation, and FRC module 100 may convert the frame rate of the input image signal by a multiplier of 1.5 or 3, or if the input image is generated from images of a movie, for example, the image signal with decreasing 3-2, FRC module 100 may convert the frame rate to 120 Hz (fivefold) by extracting the signal of the main image corresponding to 24 Hz (so called reverse reduction processing 3-2), and interpolation of the four signals interpolated image between frames.

If many signals interpolated image is generated, processing of the selection circuits can be differentiated for each of the multiple interpolated frames. For example, if four interpolated images are generated from a unidirectional source image, as shown in figure 11(a), the fourth interpolated image, remote in time from the original image, has a longer motion vectors in comparison with the original image and causes a large calculation error during the detection of the motion vector, which can generate wkhuds is the image signal interpolated image. In this case, the blurring of images of moving objects due to the effect of integration time of the image sensor can be apparently reduced without a noticeable result of the deterioration of the image, in order to improve the sharpness of the displayed image by reducing the level selection circuits for signal interpolated image, remote in time from the signal of the original image, and improve the selection circuits for the signal of the original image signal or an interpolated image, temporarily closer to the signal source image.

If two images from the first half of the four interpolated images generated from the previous source image and two images from the second half generated from the following source image, as shown in figure 11(b), or if the interpolated image is formed by changing the ratio of addition of weights or dilution factor depending on the distance from the previous and the next original image, as shown in figure 11(c), the blurring of images of moving objects due to the effect of integration time of the image sensor can be apparently reduced without a noticeable result of the deterioration of the image to sharpen the GRT is ragemojo image by reducing emissions circuits for the second and third signals interpolated image at the center due to the temporal distance from the signals of the original image and by elevation contours allocation for the signal of the original image or the first and fourth signals interpolated image, closer to the signal source image.

Although an implementation option is configured such that the module 101 detection of motion vectors detects the motion vector for the source frame n, the module 106 allocation vector frames allocates the motion vector for the source frame n and the module 2B contours allocation handles the selection of paths for the original frame n, this configuration is that the motion vector is detected for the original frame n-1, the module 106 allocation vector frames allocates the motion vector for the source frame n-1 and module 2B contours allocation handles the selection of paths for the original frame n-1 may be used.

As described above, the imaging device variant implementation allows for a visible reduction of blur of moving objects due to the effect of integration time of the image sensor to improve the sharpness of the displayed image, and prevention of deterioration of the image due to excessive secretion of contours, because appropriate treatment of the contours allocation is performed for each of the image signal interpolated frame and the persecuted of the image frame in the FRC module 100, depending on the magnitude of the movement of the image.

Because the processing of contours allocation is performed at the first level of selection circuits for the input image signal, and the signal interpolated image processing contours allocation is performed at the second level contours allocation below the first selected level contours or machining contours allocation is not performed, even if the deterioration of the image occurs in the signal interpolated image, the sharpness of the displayed image can be improved without noticeable degradation of the image.

In the case of this variant implementation, the processing of detecting the motion vector in the module 101 detection of motion vectors FRC module 100 can stably be performed without influence from the processing selection circuits. Because the processing of contours allocation is performed after the selection of vectors is performed for each of the source frame and the interpolated frame, more accurate machining of contours allocation can be performed in comparison with the first and second variants of implementation. Since the two modules contours allocation, i.e. module 2A contours allocation and module 2B contours allocation included, the processing selection circuits each module may be only half of the treatment compared with the third embodiment.

Although approximate in the ways of implementation of the device and method of image processing according to the present invention described in the above description, the above description should provide a simple understanding of the processing program is executed with the ability to control the computer to perform a method of image processing, and the recording media program, which is a machine-readable recording medium recording the program.

As described above, the imaging device according to the present invention can be performed in an integrated manner with the display device of the image is or may be separate from the display device images. Additionally needless to say that the imaging device can be located, for example, in equipment video output, such as a playback device for various recording media.

Although the method and the device, which varies the level of the selection circuits for the image signal depending on the magnitude of the movement in the input image described in the above embodiments, implementation, this is not a limitation of the present invention, and it is obvious that the present invention is applicable to a method and apparatus that perform the processing of the selection circuits in the pre-determined level selection circuits. In this case, even if the deterioration of the image occurs in the signal interpolated image, the level of the HB selection circuits for signal interpolated image may be set below the level of the selection circuits for the signal of the input image, in order to improve the sharpness of the displayed image without noticeable degradation of the image.

1. The display device of the image containing the tool frame-rate conversion, which converts the multiple frames or fields of the input image signal by interpolating the signal interpolated image generated by processing of the motion compensation to the input image, based on the information of the motion vector between the frames or fields of the input image signal between frames or fields of the input image signal, the liquid crystal display panel to display image data on the basis of the image signal subjected to the frame rate conversion by means of frame-rate conversion, the signal of the input image is processed contours allocation on the first level of selection circuits, and the signal interpolated image is subjected to treatment allocation contours on the second level contours allocation, below the first level of selection circuits, or only the signal of the input image is processed contours allocation.

2. The display device image according to claim 1, in which the processing of contours allocation increases the magnitude of the selection of the high-frequency component si is Nala image for the area, having a large amount of motion in the input image.

3. The display device image according to claim 1, in which the processing of contours allocation extends the frequency range of the selected image signal to an area that has a large amount of motion in the input image.

4. The display device image according to claim 1, which varies the characteristics of the filter to highlight the contours of the image signal depending on the movement direction of the input image.

5. The device display images according to claim 2, in which the tool frame-rate conversion includes a detection module of the motion vectors, which detects a motion vector between consecutive frames or fields included in the input image, the module allocation interpolation vector that allocates an interpolation vector between the frames or the fields based on the detected motion vector, the module forming the interpolated image, which generates a signal interpolated image based on the selected interpolation vector, and the module of the interpolation image, which interpolates the generated signal interpolated image between frames or fields, and obtains the amount of movement/the movement direction of the signal input from the images on the basis of the motion vector, detected by the detection module of the motion vectors,

6. The display device image according to claim 5, containing a lowpass filter for smoothing the motion vector detected by the detection module of the motion vectors.

7. The device display images according to claim 2, in which the tool frame-rate conversion includes a detection module of the motion vectors, which detects a motion vector between consecutive frames or fields included in the input image, the module allocation interpolation vector that allocates an interpolation vector between the frames or the fields based on the detected motion vector, the module forming the interpolated image, which generates a signal interpolated image based on the selected interpolation vector, and the module of the interpolation image, which interpolates the generated signal interpolated image between frames or fields, and obtains the amount of movement/the movement direction of the input image signal based on the interpolation vector allocated by the module selection of the interpolation vectors.

8. The display device image according to claim 7, containing a lowpass filter for smoothing interpolation vector vigesimal is through module selection of the interpolation vectors.

9. The display device image according to any one of claims 1 to 8, in which the tool frame-rate conversion interpolates the set of signals interpolated image between frames or fields of the input image signal and varies the level selection circuits for each signal interpolated image depending on the time distance from the signal of the input image.

10. How to display images containing phase frame-rate conversion to convert the number of frames or fields of the input image signal by interpolating the signal interpolated image generated by processing of the motion compensation to the input image, based on the information of the motion vector between the frames or fields of the input image signal between frames or fields of the input image signal, the step of displaying the image data on the basis of the image signal subjected to the frame rate conversion on the stage, frame-rate conversion, the signal of the input image is subjected to processing of the selection circuits of the first level of selection circuits, and the signal interpolated image processed contours allocation at the second level contours allocation, below the first level of allocation to the of Turov, or only the signal of the input image processed contours allocation.

11. The imaging device containing the medium frame-rate conversion, which converts the multiple frames or fields of the input image signal by interpolating the signal interpolated image generated by processing of the motion compensation to the input image, based on the information of the motion vector between the frames or fields of the input image signal between frames or fields of the input image, the input image is processed contours allocation on the first level of selection circuits, and the signal interpolated image is processed contours allocation at the second level contours allocation, below the first level of selection circuits, or only the signal of the input image is processed contours allocation.

12. A method of processing images containing phase frame-rate conversion, which converts multiple frames or fields of the input image signal by interpolating the signal interpolated image generated by processing of the motion compensation to the input image, based on the information vector DV is the position between frames or fields of the input image signal between frames or fields of the input image signal, the signal of the input image is subjected to processing of the selection circuits of the first level of selection circuits, and the signal interpolated image processed contours allocation at the second level contours allocation, below the first level of selection circuits, or only the signal of the input image is subjected to processing of the selection circuits.



 

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