JP5477575B2 - Compression decoding method for super-resolution control and compression decoding circuit for super-resolution control - Google Patents

Description

  The present invention relates to decoding of a compressed video signal in a video signal processing apparatus or the like, and more particularly to a compression decoding system for super-resolution control.

  In transmitting a video signal, there is a band compression technique from the viewpoint of efficient transmission band. In this regard, for example, a moving picture experts group (MPEG) method can be cited as a compression technique for handling moving images. As MPEG systems, specifically, MPEG2 and MPEG4, and recently H.264. There are systems such as H.264 / MPEG-4 AVC, and these compression techniques are standardized and known.

  However, these standardized contents only describe the provisions of the technical system, and are not sufficient for the purpose of improving the image quality related to the present invention. This is because in order to achieve high image quality, it is necessary not only to comply with these standards, but also to improve the technology for improving the image quality, so-called algorithms.

  In other words, in order to obtain high image quality, a high-performance algorithm is necessary. However, with the development of the transmission network, this is especially the case in the current transmission form using public lines where various algorithms are mixed. A high-performance algorithm must be treated as a special one.

  On the other hand, display devices capable of high-resolution display are generally becoming widespread. Along with the spread of the technology, a technique for improving the image quality such as super-resolution has also been developed, and this technique such as super-resolution has been introduced to display devices for business use such as home television.

  These band compression technology and super-resolution technology are video signals with different scanning methods such as interlace method and progressive method, composite video signals such as NTSC (National Television System Committee) where luminance signal and color difference signal are multiplexed, or The component video signal such as RGB in which the luminance signal and the color difference signal are separated is processed.

  Here, some inconsistencies occur in signal processing of moving images in which the time space changes.

  For example, since there is a difference in the number of pixel data captured as one screen between the interlace method and the progressive method, the coarseness between the screens may be highlighted in the oblique display accuracy as the time axis changes. Furthermore, the composite video signal and the component video signal have a phenomenon of color blur due to the separation state of the luminance signal and the color difference signal.

  Due to the increasing number of combinations of video compression technology to improve transmission bandwidth efficiency and super-resolution technology to improve image quality, interlace processing is used for compression technology, and progressive and super-resolution technology is progressive. Various ways of handling video signals, such as processing, have become important.

  In view of such a background, various image processing techniques as described below have been proposed.

  For example, paragraph [0022] of Patent Document 1 and a technique for performing filtering processing in DCT (Discrete Cosine Transform) conversion are described in FIG.

  Further, in particular, paragraphs [0029] and [0030] of Patent Document 2 and a technique for image processing using a frame memory difference are described in FIG.

  Furthermore, Patent Document 3 describes a technique for super-resolution processing. Patent Document 4 describes a technique for reducing coding distortion. Patent Document 5 describes a technique for reducing mosquito distortion.

JP 2005-141722 A JP 2008-293388 A JP 2009-218965 A JP 2007-0608036 A JP 2004-007292 A

  Image quality can be improved by using the technique described in the patent literature as described above.

  However, the technology as described above is the content of each process alone or the content that is simply added and added to the existing state. When these techniques are used, the following problems have occurred.

  The first problem is that a sufficient effect cannot be obtained even if the compression-decoded video signal is subjected to super-resolution.

  The reason is that adequate video information cannot be obtained at the time of decoding the compressed data, so that proper super-resolution cannot be performed.

  A second problem is that information transmission for super-resolution is insufficient.

  The reason is that there is no mechanism capable of adaptive super-resolution according to the dynamic characteristics of the video signal.

  The third problem is that it takes time for processing for high image quality such as super-resolution.

  The reason is that it takes longer time for the advanced super-resolution processing itself.

  Therefore, the present invention is for super-resolution control that can improve the image quality of a video signal after decoding processing in which the amount of information is insufficient in compression processing without causing additional delay due to additional processing. And a compression decoding circuit for super-resolution control.

According to a first aspect of the present invention, in the super-resolution compression / decoding method for decoding encoded data generated by performing compression processing on a video signal and improving the image quality, the encoded data a decoding step of decoding, and a control step of to extract the information for the super-resolution process that is included in the encoded data, decoded in said decoding step by using the information extracted in the control step A super-resolution step for improving the image quality of the received video signal, and the information extracted in the control step depends on the generated code amount and the compression standard, which is the number of information included in the transmission rate. At least the scattering power calculated by multiplying the quantized data is included. In the super-resolution step, the video signal is regarded as one screen, and the scattering power is increased. That as subjecting the entire screen processing for improving image quality as for the entire said one screen on which is strongly screen control intensity by a heavy weighting processing for improving image quality as target A featured super-resolution compression decoding method is provided.

According to a second aspect of the present invention, in the super-resolution compression / decoding circuit that decodes encoded data generated by performing compression processing on a video signal and improves the image quality, the encoded data decoding means for decoding a decoded in said decoding means by using the control means, the information extracted in the control means to extract the information for the super-resolution process that is included in the encoded data Super-resolution means for improving the image quality of the received video signal, and the information extracted by the control means depends on the amount of generated code that is the number of information included in the transmission rate and the compression standard At least the scattering power calculated by multiplying the quantized data is included, and the super-resolution means regards the video signal as one screen, and the higher the scattering power, the more the entire screen is targeted. Super-resolution, wherein processing applying for improving the image quality as for the entire said one screen on which is strongly screen control intensity by a heavy weighting processing for improving image quality Te A compression decoding circuit is provided.

  The present invention prepares control for super-resolution before performing super-resolution processing, and uses information contained in compressed data for which sufficient video information is not obtained, so that information in compression processing is used. It is possible to improve the image quality of the video signal after the decoding process whose amount is insufficient without causing an additional delay due to the additional process.

It is a block diagram showing the basic composition of the embodiment of the present invention. It is a flowchart figure showing the basic operation | movement of embodiment of this invention. It is a figure showing about a scattering degree and screen control intensity | strength. It is a figure showing about motion data and a partial control area. It is a figure showing about the partial control intensity | strength by a change area | region.

  First, an outline of an embodiment of the present invention will be described.

  In the transmission of video signals, it is necessary to increase the efficiency of the transmission band, and compression techniques are used in many transmission systems such as wired transmission and wireless transmission. Due to the spread of the Internet, transmission at a high compression rate, that is, at a low rate is prevalent. Higher compression ratio methods are required for compression technology, and while pursuing advanced algorithms to prevent image quality degradation, image quality is relieved in systems that transmit video signals with an appropriate algorithm because of the low rate. There are many needs to do. Although the super-resolution technique described as the configuration of the embodiment of the present invention is one of the remedies, some feature is extracted because the amount of information of the transmitted video signal itself is insufficient. As a result, the image quality relief will also change.

  In the embodiment of the present invention, a technique for improving image quality such as super-resolution technology is extracted by extracting characteristic data to be transmitted to the subsequent stage during compression processing as characteristic data for improving image quality. It is a method invention that focuses on interlocking.

  The above is the outline of the embodiment of the present invention.

  Next, embodiments of the present invention will be described in detail with reference to the drawings.

  FIG. 1 is a block diagram showing the configuration of the embodiment of the present invention. The present embodiment includes a compression unit 100, a decoding unit 200, a method control unit 300, and a super-resolution unit 400.

  Next, the function of each part will be described. The compression unit 100 has a function of compressing an input video signal. In addition, the decoding unit 200 has a function of decoding the signal that has been subjected to compression processing by the compression unit 100. Further, the system control unit 300 has a function of extracting an information signal for super-resolution processing from the signal subjected to compression processing. In addition, the super-resolution unit 400 has a function of performing processing for making the image quality look good.

  FIG. 1 is a block diagram including the compression unit 100 in order to explain the overall processing of the present embodiment. However, when this embodiment is implemented, some or all of the three units of the decoding unit 200, the scheme control unit 300, and the super-resolution unit 400 may be a circuit or the like (for example, a chip set). That is, the compression unit 100 may be incorporated in a single device including the compression unit 100, but the compression unit 100 may be realized by another device.

  In the embodiment of the present invention having the above-described configuration, attention is paid to the fact that the compressed signal (SIG2) contains information that is visually sparse and easily noticeable. It is possible to improve the image quality by supplementarily using the insufficient video information.

  Furthermore, the compressed signal (SIG2) also contains information that expresses the intensity of movement that is easily noticeable by humans. Therefore, in this embodiment, a mechanism capable of adaptive super-resolution according to the dynamic characteristics of the video signal becomes possible by focusing on that part and realizing control that makes the image quality look good.

  In addition, in the present embodiment, additional processing for improving the image quality by incorporating in parallel so as not to wait for the start of the super-resolution processing itself by performing additional processing of the method control unit 300. It is possible to avoid the adverse effects of increased delay due to.

  Next, an outline of the operation according to the signal flow of this embodiment will be described with reference to the block diagram of FIG. 1 and the flowchart shown in FIG. In the present embodiment, an analog video signal, a digital video signal, or a video signal such as a composite video signal or a component video signal is used as the input video signal (SIG1).

  First, in order to transmit the input video signal (SIG1), the input video signal (SIG1) is input to the compression unit 100. The compression unit 100 performs a compression process on the input video signal (SIG1) (Step A10). The compressed signal (SIG2) is MPEG2, MPEG4, H.264, or the like. It is a signal processed by a method such as H.264 / MPEG-4 AVC and contains information such as the number of generated codes, quantized data, and motion data.

  The compressed signal (SIG2) is output to the decoding unit 200 in order to return it to a video signal similar to the input video signal (SIG1), and in order to realize the characteristics of the embodiment of the present invention, the system control unit 300 Is also output (step A11). Note that the output (transmission) of the compressed signal (SIG2) from the compression unit 100 to the decoding unit 200 and the system control unit 300 may be performed via a wired or wireless network, or once the device The data may be read out after being stored in the internal storage device. Further, for example, the recording may be performed by being read out after being recorded on a storage medium such as a DVD (Digital Versatile Disc) or a BD (Blu-ray Disc).

  Subsequently, the compressed signal (SIG2) is decoded by the decoding unit 200, and the decoded signal (SIG3) is output to the super-resolution unit 400 for better image quality (step A12). .

  On the other hand, simultaneously with the operation in Step A12 (that is, while the decoding process is being performed by the decoding unit 200), the information signal (SIG4) is extracted from the scheme control unit 300 for the super-resolution processing. . Specifically, the number of generated codes, quantized data, and motion data information inherent in the compressed signal (SIG2) are extracted. This extraction is realized by passing the logic in the method control unit 300 in order to dynamically and adaptively control the super-resolution unit 400 for better displaying the image quality at the subsequent stage. Then, an information signal (SIG4) for performing this super-resolution processing is output to the super-resolution section 400 (step A13).

  The super-resolution section 400 performs a process for making the image quality better by using the decoded signal (SIG3) and the information signal (SIG4) for performing the super-resolution process, and then the input video signal (SIG1). Is output as an output video signal (SIG5) similar to (step A14). Here, the information signal (SIG4) for performing the super-resolution processing includes a scattering frequency obtained by multiplying the number of generated codes, which is the number of information included in the transmission rate, and quantized data according to the compression standard, and a dynamic change. It is assumed that the motion data itself corresponding to the coordinate difference indicating is used.

  First, the scattering power will be described.

  The generated code amount and the quantized data, which are the number of information included in the transmission rate, are inherent in the compressed signal (SIG2) generated by the compression technique. If the compression is performed at a high ratio, the amount of generated code is reduced, but due to the insufficient amount of information, it is only information with severe image quality deterioration unlike the input video signal (SIG1). In order to prevent this from happening, control technology for compressing what is compressed depends on the algorithm so that a large amount of information can be allocated even for complex video signals by changing quantized data It is.

  Specifically, by reducing the quantized data, it is possible to finely divide the video signal to be compressed and obtain a large amount of information even for a complicated video signal. The compressed signal (SIG2) generated by this compression technique can be applied individually to the amount of generated code and quantized data by control for advanced compression by an algorithm, but is included in the transmission rate. By using the scattered power obtained by multiplying the generated code amount, which is the number of information, and the quantized data, it is possible to determine the compressed video signal as the complexity without depending on the algorithm.

  Next, motion data will be described. In the present embodiment, in addition to the scattering power, it is possible to determine what kind of video signal it is by using the motion data inherent in the compressed signal (SIG2). In the super-resolution section 400, the video signal is regarded as one screen, and the information signal (SIG4) for performing the super-resolution processing based on the scattering power and the motion data, the entire screen when the scattering power is large, Processing for improving image quality is performed in dot units, line units, and block units according to the coordinate difference of the motion data. Here, the processing of the super-resolution section 400 is not touched only by transmitting the video characteristic information when the super-resolution section 400 performs processing.

  Thus, an output video signal (SIG5) similar to the input video signal (SIG1) can be output.

  It should be noted that the present invention relates to an invention that is effective in a system that efficiently transmits a video signal, particularly in a system that combines a compression decoding technique and a super-resolution technique that makes an image quality better. It is an invention that includes forms. That is, although the above-described embodiment is a preferred embodiment of the present invention, the scope of the present invention is not limited to the above-described embodiment, and various modifications are made without departing from the gist of the present invention. Implementation is possible.

  Specifically, for example, in the above description, an image signal with motion is defined as a video signal, but an image signal without motion is also encompassed by the method of the present invention. In addition, due to efficient transmission, a shortage of information amount due to compression decoding cannot be denied, and signal processing techniques such as simple filtering are included as techniques other than super-resolution as a remedy for image quality deterioration due to the shortage of information amount. Further, the method of how to extract and use which part of the information included in the compressed data is included in the present invention since it is part of the present compression decoding system.

  In order to efficiently transmit the input video signal (SIG1), there is DCT (Discrete Cosine Transform) as a process performed in the compression unit 100. Next, this DCT will be described.

  In the frequency domain representation when the two-dimensional frequency is (X, Y) from the pixel region representation when the pixel position of the video signal is (x, y). There is a function that converts forward to G (X, Y).

但し、

であるものとする。

However,

Suppose that

但し、

であるものとする。 Moreover, the function to convert in the reverse direction to reverse is as follows.

However,

Suppose that

  As in the above function equation, this conversion is to convert the image data into frequency data, and this processing can decompose the low frequency component and the high frequency component. Since this decomposition makes it easier to compress data, it is also a conventional means for processing in the previous stage of compression processing. Further, in the process of performing compression processing in units of pixels of 8 × 8 or the like while maintaining the original information by mutual conversion, redundancy can be removed, thereby helping to increase the compression efficiency.

  After such basic preprocessing, compression processing is performed, but by removing redundancy, mosquito noise is generated as a result of lack of high-frequency component information, and processing is performed in pixel unit blocks such as 8 × 8. Therefore, a fine block-like lump is generated as block noise. The mosquito noise and block noise as described above are MPEG2, MPEG4, H.264, etc. It is inseparable from all moving image compression methods such as H.264 / MPEG-4 AVC. H. Although measures such as H.264 / MPEG-4 AVC are used to reduce noise by special processing such as compression processing in fine pixel units or deblocking filters, the amount of information in terms of absolute numbers In such a situation where there is a shortage, some kind of contrivance has to be made, and a technique equivalent to a super-resolution technique for better image quality must be remedied.

  However, since the compressed signal (SIG2) -processed signal has information such as what kind of processing has been performed, attention is paid to using such information. As human visual characteristics, attention is paid to moving parts. Relieving the image quality of a part that moves sharply with the information of the point that is noticeable, especially the part that moves rapidly, will lead to higher image quality. Therefore, here, extraction of three important information in the compressed signal (SIG2) by the method control unit 300 is taken as an example. Note that this is only an example. Therefore, all these three pieces of information may be used, or only a part of them may be used. Further, instead of these three pieces of information, or in addition to these three pieces of information, other information may be used.

  Here, the three pieces of information are generated code amount indicating how much code amount the entire screen has, quantized data indicating how to cut the image frequency-separated by the DCT process, and in what block It is motion data indicating whether or not motion has occurred. Note that the method control unit 300 multiplies the generated code amount and the quantized data so that the output video signal (SIG5) can be reproduced to a fine part as in the case of the input video signal (SIG1) even if the motion is not intense. The degree of scattering that can be expressed is calculated.

  The aim of this scattering degree calculation is as follows. The compressed signal (SIG2) output from the compression unit 100 includes the number of generated codes and quantized data. If the compression is performed at a high ratio, the number of generated codes is reduced. However, there is a case where information is severely deteriorated in image quality unlike the input video signal (SIG1) due to an insufficient amount of information. In order to prevent this from happening, the quantized data is changed, and control is performed as an algorithm to perform compression processing so that a large amount of information can be allocated even for a complicated video signal.

  In other words, by reducing the quantized data, the video signal to be compressed is finely chopped and a large amount of information can be obtained even with a complex video signal. By multiplying both, the complexity of the screen can be useful information as the degree of scattering.

  The system control unit 300 extracts the generated code amount, quantized data, and motion data from the compressed signal (SIG2) and calculates the generated code amount by multiplying the quantized data, and the decoding unit 200 Decryption processing is performed. The decoded signal (SIG3) is output to the super-resolution section 400 for better image quality, while the information signal (SIG4) for the super-resolution processing extracted and calculated by the method control section 300 is output. ) Dynamically and adaptively controls the super-resolution section 400 for better image quality, and performs processing by the super-resolution section 400.

  The generated compressed signal (SIG2) can be applied individually to the generated code amount and quantized data by control for advanced compression by the algorithm, but the generated code amount and the quantized data are multiplied. By using the scattered power, it is possible to judge the compressed video signal as the complexity without depending on the algorithm, and to use the motion data inherent in the compressed signal (SIG2). Thus, it is possible to determine what kind of video signal it is.

  Here, although compression technology is described again, since compression technology is a reduction in the number of information by omitting similar signals, it does not mean that similar quantization information or similar motion information is transmitted each time, Only the difference is transmitted. The difference target range may be the entire screen, a band unit of several lines, or a block unit of square or rectangle. In motion data, the distance and direction of movement can be grasped from the difference in coordinates, but there is also a compression method that predicts from surrounding motion data. The difference around the difference can be predicted from a certain difference instead of the difference itself. As a result, the number of transmission information corresponding to the difference predicted from the periphery of the difference can be reduced. As a result, a large amount of encoded information of the compression itself can be transmitted, and the shortage of information amount due to the compression can be slightly improved. By increasing the coding information of the compression itself by predicting the difference from the periphery of the difference, the reproducibility of the decoded video signal may be good for a video signal showing a flat asphalt.

  As described above, the system control unit 300 can perform control for improving the image quality from the compressed signal (SIG2) by various methods. In this embodiment, the super-resolution section 400 is efficiently controlled by extracting and calculating the generated code amount, quantized data, and motion data from the compressed signal (SIG2). In the resolving unit 400, as shown in the outline of FIG. 3, the video signal is regarded as one screen, and when the scattering power is larger than the information signal (SIG4) for super-resolution processing based on the scattering power, the entire screen is displayed. In addition, processing using the screen control strength is performed as weighting coefficient information for processing for improving image quality.

  Further, as shown in the outline of FIG. 4, the method control unit 300 determines whether or not the target region has caused the motion from the motion data based on the coordinate change situation for each predetermined screen region. As shown in the outline of FIG. 5, super-resolution is performed as weighting coefficient information that can be processed to improve image quality in dot units, line units, or block units according to the partial control intensity from the amount of change. In this method, an information signal (SIG4) for processing is passed to the super-resolution section 400. Note that the method of FIGS. 3 to 5 is a mechanism that can be changed depending on the video signal material, and therefore numerical expression is not performed.

  Thus, an output video signal (SIG5) similar to the input video signal (SIG1) can be output.

  A specific utilization example of the embodiment of the present invention is a monitoring system at a long distance. Since it is a long distance, an affordable network line is often used, but in the case of secure transmission, a satellite line may be used. In the case of a monitoring application, since there are many constant connections, transmission at a low rate is necessary for efficient use of the line.

  However, the purpose of surveillance that only needs to be visible is not good, and the video when you want to see it should be visible properly, so a system that improves image quality is necessary.

  It is also effective to reduce the absolute delay by performing individual processing. In the case of surveillance applications, the camera that is one of the video signal sources may be operated at the point you want to see remotely, and there is often a need for an instantaneous response due to that operation. As a result, more processing delay occurs, and an additional configuration by parallel processing as in the present invention is necessary.

  In addition, although the compression decoding apparatus for super-resolution control which is embodiment of this invention can also be implement | achieved by hardware, in order to make a computer function as a compression decoding apparatus for the super-resolution control. This program can also be realized by reading and executing the program from a computer-readable recording medium.

  Also, the compression decoding method for super-resolution control according to the embodiment of the present invention can be realized by hardware, but a computer-readable recording medium for causing a computer to execute the method is computer-readable This can also be realized by reading from and executing.

  The embodiment of the present invention described above has many effects as described below.

  The first effect is that an effect such as sufficient image quality can be obtained by super-resolution of the compressed and decoded video signal.

  The reason is that appropriate super-resolution processing can be performed by using compressed data for which sufficient video information is not obtained.

  The second effect is that a control configuration for super-resolution is possible. The reason is that adaptive super-resolution according to the dynamic characteristics can be performed from the information indicating the characteristics of the video signal inherent in the compressed signal.

  The third effect is that processing for achieving super-resolution does not take time.

  The reason is that decoding and extraction of an information signal for super-resolution processing are performed in parallel, and control for super-resolution can be prepared before the super-resolution processing.

DESCRIPTION OF SYMBOLS 100 Compression part 200 Decoding part 300 Method control part 400 Super-resolution part SIG1 Input video signal SIG2 Compressed signal SIG3 Decoded signal SIG4 Information signal SIG5 Output video signal for super-resolution processing

Claims (8)

In a super-resolution compression decoding method that decodes encoded data generated by performing compression processing on a video signal and further improves image quality,
A decoding step of decoding the encoded data;
A control step to extract the information for the super-resolution process contained in the encoded data,
A super-resolution step for improving the image quality of the video signal decoded in the decoding step using the information extracted in the control step;
With
The information extracted in the control step includes at least a scattering power calculated by multiplying the generated code amount, which is the number of information included in the transmission rate, and the quantized data according to the compression standard,
In the super-resolution step, the video signal is regarded as one screen, and the screen control intensity is increased by increasing the weighting of the processing for improving the image quality for the entire one screen as the scattering power increases. A super-resolution compression / decoding method , wherein the process for improving the image quality is performed on the entire one screen . The super-resolution compression decoding method according to claim 1,
  The compression processing for generating the encoded data represents a dynamic change between a certain video signal and a certain video signal for the certain portion extracted in the control step. By predicting a difference between motion data representing a dynamic change between the certain video signal in the peripheral portion of the certain portion and a video signal different from the certain video signal from the difference in motion data. Predicting the motion data around the part of the image
  The information extracted in the control step is motion data indicating a dynamic change, and a dynamic change between a video signal and a video signal separate from the video signal for a certain part. Super-resolution compression decoding characterized by including motion data to be represented and motion data around the certain portion predicted by performing the peripheral motion data prediction processing based on the motion data Method. The super-resolution compression decoding method according to claim 1 or 2,
In the super-resolution step, a video signal is regarded as one screen, and processing for improving image quality in units of dot units, line units, block units, or a combination thereof according to the coordinate difference of the motion data. A super-resolution compression decoding method, characterized by: The super-resolution compression decoding method according to any one of claims 1 to 3,
A super-resolution compression / decoding method, wherein the decoding in the decoding step and the extraction of information for performing the super-resolution processing in the control step are simultaneously performed in parallel. In a super-resolution compression decoding circuit that decodes encoded data generated by performing compression processing on a video signal and improves the image quality,
Decoding means for decoding the encoded data;
And control means to extract the information for the super-resolution process contained in the encoded data,
Super-resolution means for improving the image quality of the video signal decoded by the decoding means using the information extracted by the control means;
With
The information extracted by the control means includes at least a scattering power calculated by multiplying the generated code amount, which is the number of information included in the transmission rate, and the quantized data according to the compression standard,
The super-resolution means captures the video signal as one screen, and the higher the scattering power, the higher the screen control intensity by increasing the weight of processing for improving the image quality for the entire one screen. A super-resolution compression / decoding circuit , wherein a process for improving the image quality is performed on the entire screen .   The super-resolution compression decoding circuit according to claim 5,
  The compression processing for generating the encoded data represents a dynamic change between a certain video signal and a certain video signal for the certain portion extracted by the control means. By predicting a difference between motion data representing a dynamic change between the certain video signal in the peripheral portion of the certain portion and a video signal different from the certain video signal from the difference in motion data. Predicting the motion data around the part of the image
  The information extracted by the control means is motion data indicating a dynamic change, and a dynamic change between a video signal and a video signal separate from the video signal for a certain portion. Super-resolution compression decoding characterized by including motion data to be represented and motion data around the certain portion predicted by performing the peripheral motion data prediction processing based on the motion data circuit. In the super-resolution compression decoding circuit according to claim 5 or 6,
The super-resolution means captures the video signal as one screen, and performs processing for improving the image quality in units of dots, lines, blocks, or a combination thereof according to the coordinate difference of the motion data. A super-resolution compression / decoding circuit, wherein: The super-resolution compression decoding circuit according to any one of claims 5 to 7,
A super-resolution compression / decoding circuit, wherein the decoding in the decoding means and the extraction of information for performing the super-resolution processing in the control means are simultaneously performed in parallel.

Images