Image processing device and image processing method for correcting chromatic aberration

FIELD: information technology.

SUBSTANCE: result is achieved by obtaining an image having a plurality of colours, obtaining a shift value of light flux of a second colour relative to light flux of a first colour, the shift value being determined by optical characteristics of a lens through which the light flux is transmitted to an image capturing unit, interpolating the signal level of the second colour in aberration coordinates from the signal level of pixels, having a second colour, around aberration coordinates, extracting the high-frequency signal level of the first colour of a target pixel in accordance with the degree of reduction of the high-frequency signal level in the signal level of the second colour in aberration coordinates, outputting, as the signal level of a pixel of second colour in the target pixel, a signal level obtained by adding the signal level extracted at the high-frequency extraction step to the signal level of the pixel of second colour, calculated at the shift correction step.

EFFECT: correcting chromatic aberration of a lens with restoration of high-frequency components lost due correction of colour position shift, for which position shift correction is performed.

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The technical FIELD TO WHICH the INVENTION RELATES.

The present invention relates to a method of correcting chromatic aberration, which appears in the image.

The LEVEL of TECHNOLOGY

Image obtained through photographing, contain the color shift caused by the chromatic aberration of the lens used for photographing.

One way to detect such a shift in color is way early store the value of the color shift corresponding to the condition of the lens (see, for example, PTL 1). Alternatively, another method is a method of calculating the amount of shift in position between color signals in the image by calculating the correlation between the color signals and detecting the amount of color shift (see, for example, PTL 2).

The amount of color shift is a constantly changing value. Thus, in order to adjust the amount of color shift that is defined in the above manner, in the digital image, it is necessary to adjust the amount of color shift in a unit smaller than one pixel. As methods for adjusting the amount of color shift in a unit smaller than one pixel, have been proposed such interpolation algorithms, as bilinear interpolation and bicubic interpolation.

The LIST IS of OCUMENTS

PATENT LITERATURE

PTL 1: Published by the Japan patent No. 8-205181

PTL 2: Published by the Japan patent No. 2006-020275

DISCLOSURE of INVENTIONS

TECHNICAL PROBLEM

In bilinear interpolation, bicubic interpolation, or other similar computing interpolation using the filter FIR (far infrared radiation), the ratio of which varies depending on the position of the interpolation. If you use these calculations interpolation, the method of the disappearance of the bands varies depending on the position shift, leading to variations in the bandwidth of the output image. Thus, there arises a problem that the image quality deteriorates.

The following describes the reason for the differences in the way the disappearance of bands in bilinear interpolation.

Figure 10 is a chart depicting the calculation using bilinear interpolation. P1, P2, P3 and P4 represent the centers of gravity of the four pixels arranged vertically and horizontally on the element capture. In order to obtain the signal level in the coordinates Q, which are located between the centers of gravity P1-P4 and which do not coincide with the coordinates of the center of gravity of any pixel located on the element-capture, it is necessary to calculate the signal level by interpolating the signal levels adjacent the pixels, with the centers of gravity P1-P4. α and β represent the magnitudes of the shift in the coordinates of Q from the centers of gravity P1-P4. In bilinear interpolation, when the signal levels at the centers of gravity P1, P2, P3 and P4 is represented by Ps1, Ps2, Ps3 and Ps4, respectively, the signal level in the coordinates Q, Qs is determined using equation (1):

Qs={(1-α)×Ps1+α×Ps2}×(1-β)+{(1-α)×Ps4+α×Ps3}×β(1)

Equation (1) is equivalent to the application of low-frequency FIR filter having two taps with coefficients (1-α) and α in the horizontal direction and the application of low-frequency FIR filter having two taps with coefficients (1-β) and β in the vertical direction. Thus, the horizontal low-frequency effect varies depending on the value of α, and the vertical low-frequency effect varies depending on the values of β. It should be noted that α and β take values in the range greater than or equal to 0 and less than or equal to 1.

11 illustrates the differences in the characteristics of the amplitude of the signal in the coordinates Q, which is caused by differences in the value of the shift α. When α is equal to 0.0 or 1.0, the gain in amplitude of signals at high frequencies, including cha is Tautou Nyquist, not reduced, while when α is 0.5, the gain amplitude at the Nyquist frequency is equal to 0. The closer α is to 0.0 or 1.0, the value of reducing the gain of the amplitude at high frequencies, centered at the Nyquist frequency, is reduced. The closer α to 0.5, the value of reducing the gain of the amplitude at high frequencies, centered at the Nyquist frequency increases. The same applies to β in the vertical direction.

Thus, if bilinear interpolation is used to determine the signal strength at certain coordinates, in accordance with their distance, the degree of disappearance of the high-frequency components of the signal level varies. By means of example with reference to Figure 10, the degree of disappearance of the high-frequency components of the level Qs signal increases in the region where the position coordinate Q is closer to the middle of the centers of gravity P1-P4, and the degree of disappearance of the high-frequency components of the level Qs signal is reduced in the region where the position is closer to one of the centers of gravity P1-P4. Since a large number of blocks is four pixels, as in the above image, the correction of color shift caused by the chromatic aberration of the lens can lead to the presence of areas where an extremely large number of high-frequency components of the level signal is Ala lost, and areas where not so many high-frequency components of the signal is lost, which will cause uneven distribution of the high-frequency components.

Another problem is that, since the correction of the chromatic aberration does not include the shift position signal of the color in the reference position, fluctuations in bandwidth between color, which does not perform the shift position, and flowers, which made the shift position is displayed as the deterioration of image quality.

SOLUTION

In order to solve the above problems, an imaging device of the present invention includes means for obtaining image to obtain an image with many colors, and the image is formed by using an element removing the image comprising a set of pixels; means for obtaining the amount of shift to get the amount of shift of the light flux of the second color with respect to the light flux of the first color, and the amount of shift is determined the optimum characteristics of the lens through which transmitted light flux that enters the element removal image; a means of adjustment to shift to interpolate the signal level of the second color coordinate aberration of the levels with the persecuted pixels, having a second color around the coordinates of the aberration and the aberration coordinates represent a position that is shifted from the position of the target pixel on the offset value; a means of high-frequency extraction to extract the high-frequency signal of the first color of the target pixel in accordance with the degree of reduction in the level of high frequency signal in the signal level of the second color in the aberration coordinates, the reduction caused by the interpolation performed by means of adjustment of the shift; and tool output for outputting, as a signal of the second color pixel in the target pixel, the signal level obtained by adding the signal level extracted by means of high-frequency extraction, the signal level pixel of the second color, calculated by means of the adjustment of the offset.

Also, in order to solve the above problems, a method of image processing of the present invention includes the step of obtaining images, which receive an image with many colors, and the image is formed by using an element removing the image comprising a set of pixels; the acquisition phase shift values, which receive the amount of shift of the light flux of the second color with respect to the light flux p is pout color, moreover, the shift value is determined the optimum characteristics of the lens through which transmitted light flux that enters the element removal image; a phase adjustment of the shift on which interpolate the signal level of the second color coordinate aberration of the signal levels of the pixels having the second color, around the coordinates of the aberration and the aberration coordinates represent a position that is shifted from the position of the target pixel on the offset value; a phase-frequency extraction, which extracts high-frequency signal of the first color of the target pixel in accordance with the degree of reduction in the level of high frequency signal in the signal level of the second color in the aberration coordinates, the reduction caused the interpolation performed on the stage of adjustment of the shift; and the stage output, which is output as a signal level of the second color pixel in the target pixel, the signal level obtained by adding the level of the signal extracted at the stage of high-frequency extraction, the signal level of the pixel of the second color, the calculated phase correction offset.

The ADVANTAGES of the PRESENT INVENTION

In accordance with the present invention, can be provided with the imaging device and method of image processing, which is performed correction of chromatic aberration to prevent uneven distribution of the high-frequency components of the signal level in the image.

BRIEF DESCRIPTION of DRAWINGS

Figure 1 is a block diagram depicting a configuration of a digital camera according to the first embodiment of the present invention.

Figure 2 is a chart describing the division of the image signals of the respective colors and the interpolation processing performed on the signals of the respective colors.

Figure 3 is a chart depicting the shift in position caused by chromatic aberration.

Figure 4 is a graph depicting the increase in the height of the image coordinates after correction of the chromatic aberration against the image height for the coordinates before correction of chromatic aberration.

Figure 5 is a chart depicting an example of a coordinate aberration in the first embodiment of the present invention.

6 includes diagrams depicting the manner in which the first element of the high-frequency suppression calculates the level of the green signal for which high-frequency components of the target pixel is reduced by performing bilinear interpolation using the shift values of α and β.

7 is a block diagram depicting a configuration of a digital camera in accordance with the second embodiment of the present invention.

Fig is a chart of the image is overall sample coordinates aberration in the second embodiment of the present invention.

Fig.9 is a diagram describing the interpolation processing is performed on the green signal.

Figure 10 is a diagram describing the calculation using bilinear interpolation.

11 depicts the differences in the characteristics of the amplitude of the signal in the coordinates Q, which is caused by differences in the value of the shift α.

The IMPLEMENTATION of the INVENTION

Embodiments of the present invention will be described hereinafter with reference to the accompanying drawings.

It should be noted that the technical scope of the present invention defined by the claims and is not limited to the following individual types of implementation. In addition, all combinations of characteristics described in the embodiments of the invention, are not necessarily essential for the present invention.

The FIRST OPTION EXERCISE

In the present embodiment, the imaging device, which corrects chromatic aberration of magnification, which is one of the types of chromatic aberration described for example in the context of the digital camera. Figure 1 is a block diagram depicting a configuration of a digital camera according to the embodiment of the present invention.

In Figure 1, 100 denotes the element lenses, including increasing l is su and focal lens. 101 indicates an element removing image with Bayer pattern, which photoelectron method converts the luminous flux transmitted through the lens element 100 and coming to him, and which includes a large number of pixels having color filters of red (R), green (G) and blue (B) colors. Element 101-capture is made, for example, from the CDD image sensor (charge coupled device) or CMOS (complementary structure of metal-oxide-semiconductor). In the present embodiment, it is assumed that the element 101-capture is a CMOS image sensor. 102 denotes an element of conversion A/D which converts the analog image signal received from element 101 removing the image, the digital image signal. Elements from the lens element 100 to 102 conversion A/D be element of image acquisition.

103 indicates an element pre-processing, which performs the correction of defects, shadow adjustment, white balance and the like on the digital signal. 104 indicates an element color interpolation, which divides the output digital signal from element 103 pre-processing the red, green, and blue, and which interpolates a pixel that does not have a signal of a specific color signal of a particular color.

p> 105 denotes the first element of the receive shift values, which calculates the amount of shift of the output red signal from element 104 color interpolation with respect to the green signal. 106 denotes a second element of the receive shift values, which calculates the amount of shift of the output blue signal from element 104 color interpolation with respect to the green signal. 107 denotes the first element of the adjustment of the shift, which calculates the signal level of the target pixel after the correction of the aberrations of the output level of the red signal from element 104 color interpolation on the basis of the magnitude of the red shift of the signal. 108 denotes a second element of the adjustment of the shift, which calculates the signal level of the target pixel after the correction of the aberrations of the output level of the blue signal from element 104 color interpolation on the basis of the magnitude of the blue shift of the signal.

109 designates the first element of the high-frequency suppression, which passes through the low pass filters the output green signal from element 104 color interpolation on the basis of the magnitude of the red shift of the signal received by the first receiving element 105 shift values. 110 denotes the second element of the high-frequency suppression, which passes through the lowpass filter output green signal from element 104 C is Etowah interpolation on the basis of the magnitude of the blue shift of the signal, received the second element 106 receive shift values.

111 denotes the first element of the subtractor, which subtracts the level of the green signal is passed through a low pass filter that is output from the first element 109 high-frequency suppression of the output level of the green signal from element 104 color interpolation. 112 denotes a second element of the subtractor, which subtracts the level of the green signal is passed through a low pass filter that is output from the first element 110 high-frequency suppression of the output level of the green signal from element 104 color interpolation. 113 designates the first element added, which adds the output signal from the first element 111 subtracting the output signal from the first element 107 adjustment shift. 114 denotes a second element is added, which adds the output signal from the second element 112 subtracting the output signal of the second element 108 adjustment offset.

Element 115 correction of chromatic aberration is composed of the first and second elements 105 and 106 receive shift values, the first and second elements 107 and 108 of the adjustment of the shift, the first and second elements 109 and 110 of the high-frequency suppression, the first and second elements 111 and 112 subtraction, and the first and second elements 113 and 114 add.

116 denotes an element of signal processing, which takes as inputs the output green signal from element 104 color interpolation, the output red signal from the first element 113 is added, and the output blue signal from the second element 114 is added. Element 116 signal processing performs the adjustment of the brightness of the image, the adjustment of gain paths and such adjustments, if any, using the signal input.

Further detail on the contents of processing performed by the element 115 correction of chromatic aberration. As a result of passing through the lens, light is focused in different positions depending on the color, and chromatic aberration occurs. In order to correct chromatic aberration, it is necessary to determine the reference color and shift position signals of other colors so that they coincided with the position of the reference color. In the present embodiment, the element 115 correction of chromatic aberration using the green signal as a support.

As shown in figure 2, the element 104 color interpolation separates the introductory image having a Bayer pattern of primary colors, at the individual colors, and interpolates the signals corresponding to the missing pixels 200 of each color. The term "missing pixels" refers to the pixels in the divided images of the respective colors that are not of the signal is s these colors. In the example shown in figure 2, in the image, with the red lights, eight pixels adjacent to the pixel having the red signal, which are located in vertical, horizontal and diagonal positions are missing pixels 200. In the picture, having green signals of four pixels vertically and horizontally adjacent to the pixel having the green light, are missing pixels 200. In the picture with the blue signals, eight pixels adjacent to the pixel having the blue signal, and arranged in vertical, horizontal and diagonal positions are missing pixels 200. Element 104 color interpolation uses the signal level of the pixel signal having the same color among, for example, eight pixels adjacent to the missing pixel 200 in the vertical, horizontal and diagonal positions, to determine the average value or a weighted sum of the signal, and sets the resulting value as the signal level of the missing pixel 200.

The first element 105 receive shift values and the second element 106 obtain the magnitude of the shift receive shift values of the red and blue signals with respect to the green signal. There are various methods of preparation, such as described above, the sensing value of the chromatic aberration, the corresponding status is Yu lenses, which is stored in advance, and determining the amount of chromatic aberration of the magnitude of the shift region having a high correlation between color signals in the image. In the present embodiment, it is assumed that the first element 105 receive shift values and the second element 106 receive shift values stored in advance in the internal memory of the magnitude of chromatic aberration corresponding to the condition of the lenses in the lens element 100.

Figure 3 is a chart depicting the shift in position caused by chromatic aberration.

In Figure 3, the signal in the coordinates 303 in the image 300, obtained before correction of chromatic aberration, is subjected to correction of chromatic aberration and is moved to the coordinate position of 302. In other words, the signal of the pixel that should be placed in the coordinates 302, which is offset in the coordinate position of 303 in the image 300 due to chromatic aberration caused by the lens element 100. 301 indicates the position of the optical axis of the lens element 100, and the distance from position 301 to the optical axis to each of the coordinates is called the height of the image. The difference between the coordinates 302 and coordinates 303, that is, the chromatic aberration varies depending on the specific optical characteristics of the lens element 100 of elizajane height of the image on the basis of the provisions of these coordinates. Thus, the first element 105 receive shift values and the second element 106 receive shift values stored in the memory as information about the structure of the lens, information indicating the amount of chromatic aberration against the image height for each component element 100 lenses, or for each type of element 100 lenses.

Figure 4 is a graph depicting the increase in the height of the image coordinates 303 to adjust the chromatic aberration against the image height coordinates 302 after correcting chromatic aberration, where the height of the image coordinates 302 after correcting chromatic aberration can be moved in the height of the image coordinates 303 to correction of chromatic aberration by multiplying the magnification. In order to determine the signal level at the target coordinates after correction of chromatic aberration, the coordinates before correction of the chromatic aberration can be calculated by the graph depicted in Figure 4, by multiplying the height of the image to the target coordinates on the enlargement ratio corresponding to the desired coordinates, and the signal level before correction of the chromatic aberration can be determined from the images obtained to chromatic aberration. In figure 4, curve 401 designation is otherwise characteristic of the chromatic aberration of the lens element 100 for red signals in the present embodiment, and curve 402 indicates the characteristic of the chromatic aberration of the lens element 100 for blue signals.

Since the image obtained after correction of the chromatic aberration, is the final conclusion, it is necessary to determine the coordinates 302 of the image after correction of chromatic aberration, specified by the coordinates of the real numbers. However, the coordinates 303 to adjust the chromatic aberration corresponding to the coordinates 302 of the image after correction of chromatic aberration, not always are the coordinates of the real numbers. As the image 300, obtained before correction of chromatic aberration, has only the signal level of the pixel corresponding to the coordinates of the real numbers, the signal level in the coordinates, not given real numbers requires interpolation of the signal levels of adjacent pixels in the coordinates of the real numbers. The coordinates before correction of the chromatic aberration corresponding to the coordinates of the target pixel in the image obtained after correction of the chromatic aberration, called the aberration coordinates.

Figure 5 is a chart depicting an example of a coordinate 303 aberration in this embodiment of the present invention.

In Figure 5, the pixels 501, 502, 503 and 504 are u what Kalami in the coordinates of the real numbers in red image in which interpolated the missing pixels 200. Dashed lines 505 are lines, horizontally and vertically diverging from the positions of the centers of gravity of the pixels 501, 502, 503 and 504. α denotes the amount of shift in the horizontal direction from the positions of the centers of gravity of the pixels 501 and 504 in the left column, and β denotes the amount of shift in the vertical direction from the positions of the centers of gravity of the pixels 501 and 502 in the top row. Figure 5, α and β take values in the range from greater than or equal to 0 and less than or equal to 1.

When the coordinates 303 aberrations are (Qrx, Qry), the first element 105 get the size of the shift determines the amount of shift α and β using equations (3) and (4):

α=Qrx-int(Qrx)(2)

β=Qry-int(Qry)(3)

Where int(n) is a function representing the integer part of n.

Next, the first element 107 adjustments shift performs a bilinear interpolation using the shift values of α and β for the calculation of the level of the red signal in the coordinates 303 aberration.

When the level of the red signal of the pixels 501, 502, 503 and 504 presents Pr1, Pr2, Pr3 and Pr4, respectively, in bilinear interpolation, the level of Kras is on signal Qr coordinates 303 aberration can be determined using equation (4), similar to equation (1)given above:

Qr={(1-α)×Pr1+α×Pr2}×(1-β)+{(1-α)×Pr4+α×Pr3}×β(4)

The second element 108 adjustments shift also performs processing similar to the one that performs the first element 107 adjusting shift using the blue image, in which interpolated the missing pixels 200, and determines the level of the Qb signal in the coordinates of the aberration in the blue image. The above processing is similar to the normal processing correction of chromatic aberration.

In the present invention, furthermore, it carries out the processing for recovery of the signal levels of the red and blue high-frequency components. The first element 109 high-frequency suppression and the second element 110 high-frequency suppression form a green signal for which the reduced high-frequency components by using the values of the shift α and β in the aberration coordinates, which are determined by the equations (3) and (4), the level of the green signal of the target pixel 600, whose center of gravity is located at the coordinates 302 figure 3.

6 includes diagrams describing the way in which the first element 109 high-frequency suppression calculates the level of the green signal for which high-frequency components Clevo what about the pixel is reduced by performing bilinear interpolation, using the shift values of the α and β defined by the first element 105 receive shift values.

6(A) depicts the region, focused on the target pixel located at the coordinates 302 in figure 3, which includes adjacent pixels of 3×3, and this area has four sub-regions, each of which includes adjacent pixels of 2×2. The subregion that includes the pixels 601, 602, 600 and 608 presented as the first region, and subregion, which includes the pixels 602, 603, 604 and 600, represented as the second area. Further, the sub-region, which includes the pixels 600, 604, 605 and 606, presented as the third region, and subregion, which includes the pixels 608, 600, 606 and 607, presented as the fourth region.

Shift values of α and β defined by the first element 105 receive shift values, are input to the first element 109 high frequency suppression. The first element 109 high-frequency suppression calculates, by interpolation, the signal levels in the coordinates 611, 612, 613 and 614, which are shifted by α from the center of gravity of the pixels in the left column and β from the center of gravity of the pixels in the top row in each of the four regions, using equations from (5) to (8):

Qrg11={(1-α)×Prg01+α×Prg02}×(1-β)+

{(1-α)×Prg08+α×Prg00}×β(5)

Qg12={(1-α)×Prg02+α×Prg03}×(1-β)+

{(1-α)×Prg00+α×Prg04}×β(6)

Qrg13={(1-α)×Prg00+α×Prg04}×(1-β)+

{(1-α)×Prg06+α×Prg05}×β(7)

Qrg14={(1-α)×Prg08+α×Prg00}×(1-β)+

{(1-α)×Prg07+α×Prg06}×β(8)

Where the signal levels of the pixels 600 to 608 are represented by characters from Prg00 to Prg08 respectively, and the signal levels in the coordinates from 611 to 614 are represented by characters from Qrg11 to Qrg14 respectively.

The above-mentioned signal levels from Qrg11 to Qrg14 coordinates from 611 to 614 are calculated by interpolation from the signal levels of adjacent pixels with α and β as weighting coefficients, which are the same ones that were used to determine the signal level in the coordinates 303 aberration. The signal levels from Qrg11 to Qrg14 coordinates from 611 to 614, thus, are the signal levels, for which, as in the signal coordinates 303 aberrations, reduced high-frequency components.

The first element 109 high-frequency suppression further calculates by interpolation signal level Org00 for which reduced high frequency components the options of the target pixel, located in the coordinates 302 of signal levels from Qrg11 to Qrg14 coordinates from 611 to 614 using equation (9). In order to determine the signal level Qrg00 at the center of gravity coordinates 303, opposite based on the interpolation calculation described above, the offset from the centers of gravity of the pixels in the right column can be represented as α, and the offset from the centers of gravity of the pixels in the bottom row can be represented as β.

Qrg00={α×Qrg11+(1-α)×Qrg12}×β+{α×Qrg14+(1-α)×Qrg13}×(1-β) (9)

The first element 111 subtraction subtracts the output level Qrg00 green signal from the first element 109 high-frequency suppression of the output level of the green signal from element 104 color interpolation to obtain a level Qrgh green signal having high frequency components, of which low-frequency components removed. As high-frequency components of the signal level in the coordinates 303 reduced level Qrg00 signal of the target pixel becomes a signal level, which remains a large number of high-frequency components. That is, the first element 109 high-frequency suppression and the first element 111 subtracting form the first element of the high-frequency extraction, which extracts high-frequency components of the level of the green signal of the target pixel in accordance with the degree of reduction of the high frequency the s component level of the red signal in the coordinates 303 aberration. Similarly, the second element 110 high-frequency suppression and the second element 112 subtracting form the second element of the high-frequency extraction, which extracts high-frequency components of the level of the green signal of the target pixel in accordance with the degree of reduction of the high frequency component level of the blue signal in the coordinates 303 aberration.

The green signal in the coordinates 302 and the red signal in the coordinates 303 aberration initially formed from the same image. Thus, the first element 113 add adds a level Qrgh green signal defined for the target pixel in the coordinates 302, to the level of Qr red signal, defined in the coordinate 303 aberration, thereby allowing to restore the high frequency components of the red color coordinates 303 aberration by pseudopolaron. The second element 110 high-frequency suppression, the second element 112 subtraction and the second element 114 add also perform similar processing on the level Qb blue signal in the coordinates of aberration, thereby allowing to restore the high frequency components of blue in the coordinates 303 aberration by pseudopolaron.

Further, the element 115 correction of chromatic aberration displays the level of the red signal generated by the first element 113 is added, and the level of the blue signal, set up shop data is bathing the second element 114 adding, the element 116 to the signal processing as the signal levels of the target pixel in the coordinates 302. Thus, the element 116 signal processing can adjust the brightness of the image, the adjustment of gain paths and such adjustments, if any, using red, green and blue signals, which suppressed the loss of high-frequency components and in which the corrected chromatic aberration.

As described above, in accordance with the present embodiment, the element 115 correction of chromatic aberration generates a low-frequency signal components by the loss of high-frequency components of the level of the green signal at the target pixel in accordance with the degree of loss of high-frequency components of the level of the red signal in the coordinates of the aberration. Further, the element 115 correction of chromatic aberration generates a signal having high frequency components, by extracting the signal level of the low-frequency components from the level of the green signal, obtained prior to the loss of high-frequency components in the target pixel. Further, the element 115 correction of chromatic aberration adds a level of high frequency signal components to the level of the red signal at the aberration coordinates, and outputs the sum as the signal level of the target pixel. Accordingly, a digital camera, which according to this variant implementation, capable of correcting chromatic aberration, which suppressed the uneven distribution of high-frequency components.

In the present embodiment, the first element 109 high-frequency suppression and the second element 110 high-frequency suppression performing weighted calculation using shift values of α and β obtained in advance at the formation level of the green signal for which high-frequency components lost in the target pixel. However, the configuration is not limited. For example, there may be used a configuration that includes a table, which beforehand stores the filter coefficients corresponding to the values of the shift α and β, and in which a read filter coefficients corresponding to the values of the shift α and β, and the level of the green signal of the target pixel is passed through a low pass filter.

However, the first element 109 high-frequency suppression and the second element 110 high-frequency suppression in the present embodiment have the advantage due to their simple configuration, which includes low-pass FIR filter having two taps with coefficients α and β in the horizontal and vertical directions.

In addition, in the present embodiment, the first element of the high-frequency extraction is spervogo element 109 high-frequency suppression and the first element 111 subtraction; and the second element of the high-frequency extraction consists of the second element 110 high-frequency suppression and the second element 112 subtraction. However, the configuration is not restricted by them. The high-pass filter whose filter coefficients vary in accordance with the degree of loss of signal level of the high-frequency components in the coordinates 303 aberration, can consist of a high-frequency element extraction, which directly extracts high-frequency components of the level of the green signal of the target pixel in accordance with the reduction of high-frequency components of the levels of the red and blue signals in the aberration coordinates.

The SECOND OPTION EXERCISE

7 is a block diagram depicting a configuration of a digital camera according to the embodiment of the present invention. Digital camera 7 differs from the digital camera 1 is the fact that element 120 color separation is included in place of element 104 color interpolation and element 122 correction of chromatic aberration is provided with the item 121 color interpolation between element 120 color separation and the first element 109 high-frequency suppression, and also included the element 110 high-frequency suppression.

Elements designated by the same numbers as the elements 7, have konfigurazio, such configuration of the first variant of implementation, and therefore their descriptions are omitted. Description will be given mainly for the configuration differs from the configuration of the first variant implementation.

Element 120 color separation divides the output color signal from element 103 pre-treatment on red, green and blue colors. Unlike element 104 color interpolation in figure 1, the element 120 color separation does not perform interpolation processing of missing pixels in images with separated colors.

In the same way as in the first embodiment, the first element 107 adjustment of the shift and the second element 108 adjustment shift count signal level coordinates 303 aberration, using bilinear interpolation. Fig is a chart depicting an example of a coordinate 303 aberration in the embodiment of the present invention.

On Fig, the pixels 801, 802, 803 and 804 are the pixel coordinates of the real numbers in the red image. The dashed lines are lines, horizontally and vertically diverging from the positions of the centers of gravity of the pixels 801, 802, 803 and 804; and a line located midway between the pixels. αr denotes the amount of shift in the horizontal direction from the positions of the centers of gravity of the pixels 801 and 804 in the left column, and βr, oboznachaet is offset in a vertical direction from the positions of the centers of gravity of the pixels 801 and 802 in the top row. As the missing pixels are interpolated in the red image, the shift values αr and βr are defined in a different way than in the first embodiment. When coordinates 303 aberrations are (Qrx, Qry), the first element 105 get the size of the shift determines the magnitude of the shift αr and βr, using equations (10) and (11):

αr=Qrx/2-int(Qrx/2)(10)

βr=Qry/2-int(Qry/2)(11)

Where int(n) is a function representing the integer part of n.

When the level of the red signal pixels from 801 to 804 presents from Pr1 to Pr4, respectively, the first element 107 adjustments shift can determine the level of Qr signal coordinates 303 aberration, replacing αr and βr to shift values of α and β respectively in equation (2). The second element 108 adjustments shift also performs processing similar to the one that performs the first element 107 adjusting shift using the blue image with missing pixels are not interpolated, and determines the level of the Qb signal in the coordinates of the aberration in the blue image.

As shown in Fig.9, the element 121 interpolation of the green color interpolates the missing pixels 900 in a green image, separated by element 120 color separation. Next, the first element 109 high-frequency suppression and the second element 110 high-frequency suppression form a green signal for which the reduced high-frequency components of the green image, in which the missing 900 pixels interpolated element 121 interpolation of the green color. Here, since the shear value αr and βr are the values of the shift in the red image with missing pixels are not interpolated, the first element 109 high-frequency suppression determines the amount of shift in green, in which the missing 900 pixels interpolated using equation (12) and (13):

αg=αr×2-int(αr×2)(12)

βr=βr×2-int(βr×2)(13)

Here, the signal levels of the field focused on the target pixel comprising adjacent pixels of 3×3, presents from Prg00 to Prg08. The first element 109 high-frequency suppression replaces αg and βg on shift values of α and β in equations from (5) to (9) to obtain the level Qrgh green signal having high frequency components, of which low-frequency components of the target pixel is removed. Similarly, the second element 110 high-frequency suppression also determines the level Qbgh green signal having high frequency components, of which low-frequency components of the target pixel has been removed. Next, the first element 113 adding and the second element 114 add restore the signal levels of the high-frequency components of the red and blue colors pseudopolaron using levels Qrgh and Qbgh signals.

As described above, in accordance with the present embodiment, it is possible to obtain signal levels of the red and blue colors, in which the signal levels of the high-frequency components are restored after correction of chromatic aberration, without interpolation of missing pixels in the red image and a blue image.

In addition, although the first and second embodiments of have been described in the context of bilinear interpolation by way of example, similar advantages can be obtained by using another filter having the structure of the FIR filter (e.g., bicubic interpolation).

In addition, although the first and second embodiments of have been described in the context of the ratio of signals of red color and blue color signals with the provisions of the signals of the green color by way of example, the configuration is not limited. Can be used for the van configuration, in which the position signal of the first color associated with the position signal of any other color, that is, the second color or the third color, and the position signal of any other color can be correlated, for example, with the signal of red color or blue signal color. Moreover, in order to correct the axial chromatic aberration instead of the chromatic aberration of magnification, even in the case when the components of signals of other colors associated with the provisions of signals of a certain color, correction of chromatic aberration can be performed for a similar configuration to suppress the uneven distribution of high-frequency components.

In addition, the first and second embodiments of can be embodied not only in a digital camera, but in the personal computer or printer having a function for image processing. Such an imaging device can be provided, instead of an image acquisition, consisting of elements from the lens element 100 to 102 conversion A/D, the element receiving the image made with the possibility of reading the image from the recording medium or image receiving via the network through the communication interface.

OTHER embodiments of the INVENTIONS

The foregoing embodiments of izopet the deposits can also be implemented in software using a computer (or CPU, MPU or the like) of the system or device.

Thus, in order to realize the foregoing embodiments of the invention using the computer, itself a computer program, provided on the computer, also embodies the present invention. That is itself a computer program to realize the functions of the foregoing embodiments of the invention also is a variant of the present invention.

It should be noted that a computer program for embodying the above-mentioned embodiments of the invention may be in any form, provided that a computer program can be read by a computer. For example, the computer program can be configured to use the object code of the program executed by an interpreter, script execution program provided by the OS; and the like. However, their shape is not limited.

A computer program for embodying the above-mentioned embodiments of the invention is provided to the computer via a machine-readable medium or a wired/wireless communication. Examples of computer-readable media for providing the program include storage devices, magnetic media such as floppy disk, hard disk and tape for magnetic recording; optical device/mage is the Itno-optical information storage, such as MO, CD and DVD; and a nonvolatile semiconductor storage device.

Means for providing a computer program using wired/wireless communication includes a method of using a server in a computer network. In this case, a data file (program file), which can be a computer program forming the present invention, is stored on the server. The program file may be in the form of executable or source code.

Next, the program file is provided to the client computer that accesses the server by downloading. In this case, the program file may be divided into multiple segment files, and these segment files may be distributed and posted on different servers.

That is, the server device that provides the program file for the client computer to the embodiment of the foregoing embodiments of the invention, also is a variant of the present invention.

Moreover, the machine-readable medium that stores an encrypted version of the computer program for embodying the above-mentioned embodiments of the invention may be distributed, and key information for decryption may be provided to the user that satisfy predetermined conditions, etc is what the user is allowed to install a computer program on a computer, which user owns. Key information can be provided, for example, by downloading it from the home page via the Internet.

Moreover, a computer program for embodying the above-mentioned embodiments of the invention may be performed using the functionality of the existing OS on the computer.

In addition, a computer program for embodying the above-mentioned embodiments of the invention can be configured in the software and hardware device, part of which is attached to the computer, such as an expansion Board; or may be executed by the CPU, located on an expansion card.

The REFERENCE LIST of ITEMS

100 - Element lens

101 - Item-capture

102 - Element conversion A/D

103 - Element pre-processing

104 - Element color-interpolation

105 - the First element of the receive shift values

106 - the Second element of the receive shift values

107 - the First element of the adjustment shift

108 - the Second element of the adjustment shift

109 - the First element of the high-frequency suppression

110 - the Second element of the high-frequency suppression

111 - the First element subtraction

112 - the Second element of the subtraction

113 - the First item added

114 - the Second element added

115, 122 - e the ment of correction of chromatic aberration

116 - Element signal processing

120 - Element color separation

121 - Element interpolation of green

1. The imaging device containing:
means for obtaining image to obtain an image with many colors, and the image is formed by using an element removing the image comprising a set of pixels;
means for obtaining the amount of shift to get the amount of shift of the light flux of the second color with respect to the light flux of the first color, and the amount of shift is determined by the optical characteristics of the lens through which transmitted light flux that enters the element capture;
the means of adjustment of the shift to interpolate the signal level of the second color coordinate aberration of the signal levels of the pixels having the second color, around the coordinates of the aberration and the aberration coordinates represent a position that is shifted from the position of the target pixel on the offset value;
means of high-frequency extraction to extract the high-frequency signal of the first color of the target pixel in accordance with the degree of reduction in the level of high frequency signal in the signal level of the second color in the aberration coordinates, the reduction caused by the interpolation performed cf is a rotary adjustment of the shift; and
the tool output to output, as the signal level of the second color pixel in the target pixel, the signal level obtained by adding the signal level extracted by means of high-frequency extraction, the signal level of the second color pixel, calculated by means of the adjustment of the offset.

2. The imaging device according to claim 1 in which the means of adjustment of the shift interpolates the signal level of the second color coordinate aberration of the signal levels of the pixels having the second color around the aberration coordinates, using the weighting coefficients corresponding to the distances between the coordinates of the aberration and the centers of gravity of the pixels having the second color around the aberration coordinates.

3. The imaging device according to claim 2, in which the means of adjustment of the shift interpolates the signal level of the second color coordinate aberration by summation of signal levels of pixels having a second color around the aberration coordinates, using the weighting coefficients.

4. The imaging device according to claim 2, in which the means of the high-frequency extracting includes
means of high-frequency suppression for signal in which the high-frequency signal of the first color of the target pixel podavljaet is in accordance with weighting factors, and
means for subtracting the subtraction signal generated by means of high-frequency suppression of the signal level of the first color of the target pixel
moreover, the tool output outputs, as the signal level of the second color pixel in the target pixel, the signal level is defined by adding the signal obtained by the subtraction performed by means of subtraction, the signal level of the second color pixel, calculated by means of the adjustment of the offset.

5. The imaging device according to claim 4 in which the means of high-frequency suppression generates a signal in which the high-frequency signal of the first color of the destination pixel is suppressed by using a signal obtained by weighting the signal levels of the pixels having the first color, around the target pixel, by using the weighting coefficients used by means of adjustment of the shift, and summing the weighted signal levels.

6. The imaging device according to claim 5 in which the means of high-frequency suppression generates a signal in which the high-frequency signal of the first color of the destination pixel is suppressed by determining the level of the signal at the center of gravity of the target pixel using multiple levels is ignal, obtained by weighting the signal levels of the pixels having the first color, around the target pixel, with weighting factors used by the adjustment shift, and summing the weighted signal levels.

7. The imaging device according to claim 1, additionally containing:
second means for obtaining the amount of shift to get the amount of shift of the light flux of the third color with respect to the light flux of the first color, and the amount of shift is determined by the optical characteristics of the lens through which transmitted light flux that enters the element capture;
the second means of adjustment of the shift to interpolate the signal level of the third color coordinate aberration of the signal levels of the pixels having a third color, around the coordinates aberration, the aberration coordinates represent a position that is shifted from the position of the target pixel on the offset value obtained by the second means of obtaining the amount of shift; and
the second tool, the high-frequency extraction to extract the high-frequency signal of the first color of the target pixel in accordance with the degree of reduction in the level of high frequency signal in the signal level of the third color in the aberration coordinates, the reduction caused INTERPOLA the iej, performed by the second means of adjustment of the shift,
moreover, the tool output outputs, as the signal level of the third color pixel in the target pixel, the signal level is defined by adding the level of the signal extracted by means of high-frequency extraction, the signal level of the pixel of the third color calculated by the second means to adjust the offset.

8. The imaging device according to claim 1, in which the first color is green and the second color is red or blue.

9. The method of image processing, comprising:
the stage of obtaining the image, which receive an image with many colors, and the image is formed by using an element removing the image comprising a set of pixels;
the acquisition phase shift values, which receive the amount of shift of the light flux of the second color with respect to the light flux of the first color, and the amount of shift is determined by the optical characteristics of the lens through which transmitted light flux that enters the element capture;
the phase adjustment of the shift on which interpolate the signal level of the second color coordinate aberration of the signal levels of the pixels having the second color around the aberration coordinates, and the coordinates of the ABA is the radio represent the position, which is shifted from the position of the target pixel on the offset value;
stage high-frequency extraction, which extracts high-frequency signal of the first color of the target pixel in accordance with the degree of reduction in the level of high frequency signal in the signal level of the second color in the aberration coordinates, the reduction caused by the interpolation performed on the stage of adjustment of the shift; and
stage output, which is output as a signal level of the second color pixel in the target pixel, the signal level obtained by adding the level of the signal extracted at the stage of high-frequency extraction, the signal level of the pixel of the second color, the calculated phase correction shift.



 

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