Device and method for high-resolution imaging at built-in device

IPC classes for russian patent Device and method for high-resolution imaging at built-in device (RU 2512130):

H04N5/232 -

H04N19/59 - PICTORIAL COMMUNICATION, e.g. TELEVISION

G06T5/00 - Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image

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FIELD: physics, computation hardware.

SUBSTANCE: in compliance with this invention, sequence of images including multiple lower-resolution images is contracted. Vectors of motion between reference image in sequence and one or several nest images in sequence are defined. The next forecast image is generated by application of motion vectors to reconstructed version of reference image. Difference between next actual image and next forecast image is generated. Image in sequence from set to set is decoded and SR technology is applied to every decoded set for generation of higher-resolution image by rime interpolation and/or spatial interpolation of reference and difference images. Compression of sequence of images includes steps of determination of vectors of motion between reference image and at least one of extra image of sequence of images. Note here that obtained vector of motion is applied to forecast at least one extra image to calculate difference in mages between at least one extra image and forecast of at least one extra image, respectively.

EFFECT: high-resolution imaging by superhigh resolution technology.

13 cl, 5 dwg

The technical field to which the invention relates.

Embodiments of the present invention, in General, relate to embedded devices and, more specifically, to a method and device that allow you to obtain an image with higher resolution in the embedded device using technology sverhrazdutaya.

The level of technology

The device user of the camera can “drop” the image of the object, generating a digital image of an object with a specific image resolution. Typically, a digital image includes pixel data that represent the object and image resolution refers to the number of parts of the digital image. In particular, the digital image generated by the device camera may be distorted. For example, shaking hands (for example, camera shake can cause distortion (e.g., lubrication) of the digital image.

Sometimes you can use technology sverhrazdutaya to reduce the effects of hand shake. Technology sverhrazdutaya allows you to create images with a higher resolution of one or more images with lower resolution. Technology sverhrazdutaya predicts missing parts (e.g., pixel data) of the image of lower resolution using motion estimation and technologies us the wounds of the image blur. Missing parts apply to one or more images with lower resolution to produce images with higher resolution.

Currently, technology sverhrazdutaya not apply in the embedded device due to the limited capabilities of the processor and memory. The embedded device may be a device with an integrated camera, such as a mobile phone, a pocket personal computer (PDF, PDA), smartphone, etc. because of the limited sizes of the embedded device is limited to certain sizes of memory and/or processor resources. Raw and uncompressed images have a relatively large size and occupy a significant amount of memory. As a result, the processor must handle a large number of images to perform technology sverhrazdutaya when using an embedded device.

Currently, technology sverhrazdutaya perform offline embedded device before synchronizing, during which images of low resolution can be stored in the device memory. The processing performed offline before sending images with low resolution from an embedded device to another device (e.g. computer). The user, however, has not been able to see an image of the high resolution screen with low resolution.

Therefore, in this technical field, there is a need to obtain images with higher resolution in the embedded device.

The invention

Variants of the embodiment of the present invention is directed to a method, device and embedded device, which allows to obtain a high-resolution image in response to the execution of technology sverhrazdutaya for the sequence of compressed images using one or more motion vectors. In one variant embodiment of the method for the use of technology integration, which provides superresolution in the embedded device includes compressing a sequence of images, using the technology of integration, in which the image sequence contains many images with lower resolution, and applying the technology of sverhrazdutaya for a compressed image sequence to generate images with higher resolution.

Brief description of drawings

For a detailed description of the above-noted properties of the present invention, a more particular description of the invention summarized above may be described with reference to ways to embodiments, some of which are illustrated on the attached drawings. However, it should be noted that the attached drawings illustrious is only typical variants of the embodiment of the present invention, and so they should not be construed as limiting its scope as the invention may be made other equally effective ways of implementation.

Figure 1 shows a block diagram of an embedded device designed for performing technology sverhrazdutaya for the sequence of compressed images, for forming an image with a higher resolution, in accordance with one or more variants of the embodiment;

figure 2 shows the block diagram of the operational sequence of the method of use of technology integration, which provides the possibility of using sverhrazdutaya in the embedded device, in accordance with one or more variants of the embodiment;

figure 3 shows the block diagram of the operational sequence of the method for compressing multiple images with lower resolution to provide opportunities sverhrazdutaya in the embedded device, in accordance with one or more variants of the embodiment;

figure 4 shows the block diagram of the sequence of operation of the method for generating a differential image, in accordance with one or more variants of the embodiment; and

figure 5 shows the block diagram of the operational sequence of the method for compressing a sequence of images in the sensor, an embedded device, in accordance with one ilible variant embodiments.

Detailed description of the invention

Figure 1 shows a block diagram of an embedded device 100 designed for performing technology sverhrazdutaya for the sequence of compressed images to obtain an image with higher resolution in accordance with one or more variants of the embodiment of the present invention. The sequence of compressed images can be compressed using the technology of video compression is lossless or almost lossless.

The embedded device 100 can be a mobile phone, camera phone, smartphone, personal digital assistants (PDA), commonly known in the art. The embedded device 100 includes a microprocessor 102, various support circuits 104, memory 106, the module 108 and camera module 110 sverhrazdutaya. The microprocessor 102 facilitates the processing and preservation of data. Various support circuits 104 contribute to the microprocessor 102 and include at least one of the circuit clock frequency, power source, cache, scheme I/o, etc. Memory 106 contains at least one permanent storage device (ROM, ROM), random access memory (RAM, RAM), storage disk drive, optical drive, removable drive, etc. the Memory 106 includes fashion is ü 115 management software codec 116 and image 118 with low resolution. Usually software codec 116 includes software code that is designed to compress a sequence of images, using the technology of video compression without losses (for example, YUV (color difference signals) compression Huffman, CorePNG, etc.) or practically without losses (for example, the DV compression (black & white, digital video), FastCodec etc). In one variant embodiment of a software codec 116 uses the technique of prediction between frames for processing a sequence of raw images. Software codec 116 may estimate motion vectors between consecutive images using the technique of estimation of the motion vector. Various techniques for motion estimation, which can be used by a software codec 116, known in the art. In one variant embodiment of a software codec 116 divides the image with a lower resolution image 118 with the lower resolution on multiple blocks of pixels and performs prediction between blocks and compression based on block to block. In some embodiments the embodiment of the camera module 108 may include hardware codec 114, which performs the function of a software codec 116, being embodied as a hardware device.

In one variant embodiment, the module 108 of Cam is ture includes a commercially available integrated device generating image (for example, built-in camera). As an example and not to limit, the module 108 camera uses for shooting a lot of raw images for a sequence of images (for example, the sequence of uncompressed images). The camera module 108 includes a sensor 112 (that is, the image sensor). In one variant embodiment, the sensor 112 stores the sequence of captured images in the memory 106 as image 118 with low resolution. In another variant embodiment, the sensor 112 converts the sequence of captured images into an electrical signal that can be transmitted in different parts of the embedded device 110 via the microprocessor 102. For example, the sensor 112 can communicate with the module 110 sverhrazdutaya.

Usually the module BUT sverhrazdutaya is a component of the integrated device 100, which includes a module 120 improve the resolution and the local memory 122. Local memory 122 contains at least one permanent storage device (ROM), random access memory (RAM), storage disk drive, optical drive, removable drive, etc. Local memory 122 comprises a sequence 124 compressed images, information 126 motion vector and 128 image with high resolution. In one or more embodiments, embodiments of the present and the acquiring module 110 sverhrazdutaya stores the sequence 124 compressed images and information 126 motion vector, as formed by using a hardware codec 114 or software codec 116. As further described below, the module 120 improve the resolution uses one or more technologies sverhrazdutaya for sequence 124 compressed images and information 126 vector to generate the 128 image with a higher resolution. Various technologies sverhrazdutaya known in the art, can be used in the present invention. It should be noted that the module 120 improve the resolution applies technology (technology) sverhrazdutaya without full recovery image 118 with low resolution sequence 124 compressed images.

In accordance with various embodiments of the present invention, the module 115 includes software code that is designed to control the image formation 128 high resolution of the raw uncompressed image sequence consisting of images with low resolution. During operation module 115 management coordinates the compression of the raw images and the use of technology sverhrazdutaya for sequence 124 compressed images. In one variant embodiment, the module 115 performs control software codec 116 to compress the image 118 of low resolution and saves the village is egovernance 124 compressed images in the local memory 122. In accordance with this image 118 with low resolution can be deleted to free memory resources. In one variant embodiment, the sequence 124 compressed image includes a reference image (for example, the first image in the sequence of images, one or more motion vectors and one or more differential images (for example, data of a pixel representing the difference between the original image and the original image, projected on the basis of the reference image). The reference image and/or one or more difference images can be compressed using compression techniques lossless. You can use technology to assess motion vectors to determine one or more motion vectors. For clarity, as an example, the sequence 124 compressed images is described here as having a single reference image. For specialists in the art will understand that the sequence 124 compressed images may include a set of reference images.

In some embodiments the embodiment of the original image is any image in the sequence of uncompressed images. The reference image represents one of the source images. For a differential image of the projected image is Ormerod by calculating motion vectors relative to the reference image and then perform motion compensation of the reconstructed version of the reference image, using the motion vector. A differential image is formed by subtracting the predicted image from the original encoded image. This prediction between images can be made on the basis from block to block, for each original image in the sequence after the reference image. Thus, form the sequence 124 compressed images and information 126 motion vector. While here described specific ways to implement the prediction between pictures, for professionals in the art will understand that the software codec 116 and/or hardware codec 114 can perform other types of processing prediction between images, similar to those described here, such as the prediction between images used in the standards of the Expert group on the moving images (MPEG), known in this technical field.

In accordance with one embodiment of the hand-shake embedded device 100 may cause one or more differences between images with low resolution, which form an uncompressed image sequence. Image of low resolution can be generated for the same scene, but may include a variety of data pixels representing identical with the ENU, because of movement (i.e. shaking) of the embedded device 100. Because the data of the pixel may be different from each other, an image with lower resolution may include additional parts not captured in the other image with low resolution. In accordance with this part of the two or more low resolution images can be combined to produce images with higher resolution.

In accordance with various embodiments of the present invention, the module 120 improve the resolution performs one or more technologies sverhrazdutaya for sequence 124 compressed image to generate image 128 with a higher resolution. In accordance with one embodiment of the technology (technology) sverhrazdutaya includes a temporary interpolation and/or spatial interpolation of the reference image and the image difference. For example, technology (technology) sverhrazdutaya interpolates the missing parts of the scene from a reference image, the motion vectors and image difference. After this module 120 improve the resolution uses the missing parts to improve the resolution of the reference image.

In one variant embodiment of a sequence of compressed images is not fully decode to restore all image the clusters 118 low resolution before applying technologies sverhrazdutaya module 120 improve the resolution. In other words, technology sverhrazdutaya do not perform for a sequence of decoded images (e.g. images 118 low resolution) in accordance with one or more variants of the embodiment of the present invention. Technology sverhrazdutaya can be made directly to sequence 124 compressed images. In one variant embodiment, the module 120 improve the resolution does technology sverhrazdutaya for sequence 124 compressed images at block level (i.e. blocks of pixels at a time). That is, given a reference image motion vector and a differential image, the module 120 improve the resolution can begin decoding sequence 124 compressed images based from block to block. Technology sverhrazdutaya can then be applied to each block as it is decoded to generate 128 image with a higher resolution. Due to the implementation of sverhrazdutaya based from block to block, module 120 improve the resolution does not need to wait until all of the original image will be decoded, and there is no need to keep all of the original image in memory.

In one variant embodiment of the information 126 motion vector includes motion vector data (for example, two-dimensional motion vector between the reference image and the subsequent images in the sequence. Each motion vector provides an offset from the coordinates in the reference image to coordinates in the following image. In one or more embodiments, the embodiment of the motion vector is defined as the accuracy level podpisala (e.g., one-hundredth of a pixel) using a software codec 116 or hardware codec 114. The module 120 improve the resolution uses the motion vectors with a precision at the level of podpisala, to generate 128 image with a higher resolution of the reference image and the differential image block-level, in accordance with one embodiment.

In accordance with one embodiment, the module 108 and camera module 110 sverhrazdutaya interact to generate 128 image with a higher resolution of the image 118 with a lower resolution. As an example, and not limitation, the sensor 112 of the camera module 108 removes many images with lower resolution, which remain as image 118 with low resolution. Software codec 116 compresses image 118 with a lower resolution, using the technology of video compression is lossless or almost lossless.

During the execution stage compression software codec 116 also calculates a motion vector between consecutive low resolution images in the sequence is lnasty images with precision at the level of podpisala.

If necessary, the sensor 112 includes hardware codec 114. In one or more embodiments, embodiments of the present invention the hardware codec 114 is a component that embodies the technology of video compression is lossless or almost lossless. In one variant embodiment of a hardware codec 114 divides the image with low resolution images 118 low resolution on multiple blocks of pixels. During operation, as the raw image is removed using a sensor 112, the hardware codec 114 compresses the image sequence, using the technology of video compression is lossless or almost lossless predictive between images, as described above with reference to a software codec 116. As a result, the sequence 124 compressed images generate and save in the module 110 sverhrazdutaya. In accordance with one embodiment of the module 120 improve the resolution applies technology sverhrazdutaya for sequence 124 compressed images and generates a 128 image with high resolution. In one variant embodiment of a hardware codec 114 provides compression techniques lossless or almost lossless image sequence before being stored in the memory 106. As a result, stores the I memory space, due to the fact that image 118 low resolution do not want to keep to form the image 128 high resolution.

Figure 2 shows the block diagram of the sequence of operation of the method 200, intended for the use of technology integration, which provides processing of sverhrazdutaya in the embedded device, and to generate images with higher resolution in accordance with one embodiment. The method 200 begins at step 202 and proceeds to step 204, where a sequence of images (for example, many images with lower resolution) store in local memory (e.g., local memory 122 of figure 1).

At step 206, the image sequence is compressed using the compression technology video working without losses, with the prediction between images. In other variant embodiments use codec video compression mode, close to lossless for compressing a sequence of images. At step 208 applied technology sverhrazdutaya the sequence of compressed images (e.g., sequence 124 compressed images of figure 1). At step 210 generates an image with a higher resolution (for example, 128 image in higher resolution (figure 1). At step 212, the method 200 engaged is moved. In one variant embodiment, the module improve the resolution (for example, module 120 improve the resolution of figure 1) uses one or more technologies sverhrazdutaya to a reference image, one or more motion vectors and one or more differential images, as described above.

Figure 3 shows the block diagram of the sequence of operations of the method 300, designed for compression of images with a lower resolution to provide opportunities sverhrazdutaya in the embedded device in accordance with one embodiment. The method 300 begins at step 302 and proceeds to step 304, which appeal to many images with lower resolution contained in memory (e.g., in memory 106 of figure 1).

At step 306 the reference image (i.e. the first image among the images with lower resolution) process (for example, compress, using the algorithm lossless or nearly lossless). At step 308 receives the following image (i.e. the next image with a lower resolution). At step 310 determines a motion vector between the subsequent image and the reference image. In one embodiment, the embodiment of technology assessment of the motion vector determines the motion vector with a precision at the level of podpisala. At step 312 generates a differential image is. A differential image representing one or more differences (errors)between the next image and the prediction of the next image obtained from the reference image, as described above.

At step 314 determines whether there is the next image in the sequence of images that is designed to handle. If you determine that there is the next image in the sequence of images for processing (option “Yes”), method 300 proceeds to step 308. If at step 314 determines that there are no more images in the sequence of images for processing (option “No”), method 300 proceeds to step 316. At step 316 keep supporting the movement of the motion vector and the differential image. In one variant embodiment of the reference image motion vector and the differential image are compressed image sequence, which is transmitted to the module sverhrazdutaya (for example, module sverhrazdutaya 110 of figure 1) embedded device. In another variant embodiment of the reference image and/or differential image before saving compressed using compression technology, working without losses. At step 318, the method 300 ends.

Figure 4 shows the block diagram of the sequence of operations of the method 400 DL is generating a differential image in accordance with one embodiment. The method 400 begins at step 402 and proceeds to step 404, in which process the reference image and the motion vector. At step 406 generates a prediction encoded image from the reference image and the motion vectors. In one variant embodiment, the codec expects to encode the image by applying the motion vectors to the first image (for example, the previously encoded and reconstructed image). At step 408 the predicted image is subtracted from the encoded image (for example, the observed or actual images). At step 410 calculate a differential image. At step 412, a differential image is compressed. At step 414, the method 400 ends.

Figure 5 shows the block diagram of the sequence of operations of the method 500, designed for compression of image sequences in the sensor embedded device in accordance with one embodiment. The method 500 begins at step 502 and proceeds to step 504, where the shoot multiple images with lower resolution. Images with lower resolution, keep in memory (e.g., in memory 106 of figure 1) as a sequence of uncompressed raw images. At step 506 a lot of images with lower resolution compressed, using a hardware codec. In one or more embodiments, the embodiment of the apparatus is atny codec can be implemented, as a hardware codec is lossless or almost lossless predictive, between images, as described above. At step 508 a compressed set of images with a lower resolution is converted into an electrical signal. At step 510, the electrical signal is passed to the module sverhrazdutaya (for example, module 110 sverhrazdutaya of figure 1) and save it. Method 500 ends at step 512.

Thus, there were presented different ways embodiment of the present invention. Different ways embodiment of the present invention, preferably, can provide opportunities sverhrazdutaya in the embedded device. Furthermore, the method in accordance with the invention and the device can be used to work directly with the sequence of compressed images with low resolution. In addition, different variants of the embodiment can reduce the amount of memory and CPU resources required for optimal or efficient use of an embedded device.

Although the previous description is directed to a variant embodiment of the present invention, other and additional variants of embodiment of the invention can be developed without going beyond its main volume and its volume is determined by the following claims.

1. Method of generating images with high quality, is their resolution from an image sequence, contains many images with lower resolution, in the embedded device, comprising stages, which are:
compress the image sequence, using the technology of integration, in which the image sequence contains many images with lower resolution;
determine the motion vectors between the reference image in the sequence and one or more subsequent images in the sequence and generate the next predicted image by applying the motion vectors to the reconstructed version of the reference image;
generate a differential image between the following actual image as the predicted image;
decode the image in the sequence based on the from block to block; and
applied technology sverhrazdutaya to each decoded block to generate an image with higher resolution by performing temporal interpolation and/or spatial interpolation of the reference image and the image difference.

2. The method according to claim 1, in which the compression of a sequence of images further comprises the steps that: shoot multiple images with a lower resolution using the sensor; and compress multiple images with a lower resolution, using techno is Ohio the integration.

3. The method according to claim 1, in which the compression of a sequence of images further comprises the steps are: save a lot of images with lower resolution; and apply technology for the integration of stored multiple images with lower resolution.

4. The method according to claim 1, in which the compression of a sequence of images further comprises the step, which determines the motion vector between the reference image and at least one additional image of the image sequence.

5. The method according to claim 4, in which the compression of a sequence of images advanced
contains the phase in which the use of the motion vector to a reference image for prediction of at least one additional image.

6. The method according to claim 5, in which the compressed image sequence further comprises a stage on which to calculate a differential image between the at least one additional image and Outlook, at least one additional image, respectively.

7. The method according to claim 6, in which the compressed image sequence further comprises a stage on which the compressed difference image using the technology of the integration working without losses.

8. The method according to claim 6, in which the compression sequence is lnasty image further comprises the step which compresses the differential image, using the technology of video compression mode, close to lossless.

9. A device for generating a high resolution image from a sequence of images containing a lot of images with lower resolution, containing:
the control module designed for use compression technology to image sequence, which contains many images with lower resolution;
module improve the resolution made with the possibility of determining motion vectors between the reference image in the sequence and one or more subsequent images in the sequence, and with the ability to predict the next image by applying the motion vectors to the reconstructed version of the reference image, to generate a differential image between the following actual image as the predicted image for decoding images in a sequence based from block to block, and
to perform technology sverhrazdutaya to each decoded block for forming an image with higher resolution by performing temporal interpolation and/or spatial interpolation of the reference image is to be placed and image difference.

10. The device according to claim 9, additionally containing the codec working lossless designed to compress multiple images with a lower resolution, using compression technology, working without losses.

11. The device according to claim 10, in which the codec is operating without losses, applies the technology of motion estimation to generate at least one motion vector with a precision at the level of podpisala.

12. The device according to claim 9, further containing a codec mode that is close to lossless, designed for compression of images with a lower resolution, using compression technology, working in the regime close to lossless.

13. Device according to any one of p-12, optionally containing a camera module for capturing multiple images with lower resolution.