CN116489368A - Image dynamic compression method and image dynamic compression device - Google Patents
Image dynamic compression method and image dynamic compression device Download PDFInfo
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- CN116489368A CN116489368A CN202310736732.6A CN202310736732A CN116489368A CN 116489368 A CN116489368 A CN 116489368A CN 202310736732 A CN202310736732 A CN 202310736732A CN 116489368 A CN116489368 A CN 116489368A
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- 238000007906 compression Methods 0.000 title claims abstract description 137
- 230000006835 compression Effects 0.000 title claims abstract description 134
- 238000000034 method Methods 0.000 title claims abstract description 48
- 230000003068 static effect Effects 0.000 claims abstract description 14
- 238000013139 quantization Methods 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 13
- 238000003709 image segmentation Methods 0.000 claims description 8
- 230000007246 mechanism Effects 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 5
- 230000006837 decompression Effects 0.000 claims description 3
- 230000002441 reversible effect Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 230000009467 reduction Effects 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
- 230000016776 visual perception Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
- H04N19/176—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/154—Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/42—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
- H04N19/423—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation characterised by memory arrangements
- H04N19/426—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation characterised by memory arrangements using memory downsizing methods
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention relates to an image dynamic compression method, an image dynamic compression device, computer equipment and a computer readable storage medium. The dynamic image compression method comprises the following steps: s1, dividing an original image into a plurality of image blocks; s2, analyzing the image block and recording data information in the image block; s3, selecting an encoding mode to dynamically compress the image block according to the data information in the image block, and storing the compressed bit stream into a static random access memory. The compressed bit stream is dynamically stored in the static random access memory, so that the cost of storing the whole frame buffer can be greatly reduced, and the hardware cost is reduced; can achieve high-rate compression under simple flow control and maintain compression quality among different images.
Description
Technical Field
The present invention relates to the field of image compression technology, and in particular, to a method and apparatus for dynamic compression of images, a computer device, and a computer readable storage medium.
Background
With the increasing maturity of ultra-high definition display technology, people do not meet the video display effect of 30 frames 720P, and the video display requirement of 60 frames and above is more and more strong. However, the amount of data to be processed for the super high frame rate video display is large, which requires a compression means with better display effect, a higher speed transmission path and a higher performance display interface to be used in the display system. In order to solve these problems, VESA association proposed a DSC compression algorithm which is small in complexity, does not affect visual perception, and can reduce bandwidth pressure, so that it is necessary to add a hardware structure having a DSC function to an ultra-high definition video display system. Since the application field of DSC algorithms is very clear, he requires that the compression process is performed within one frame, the original DSC algorithm can only support a maximum of 60 frames of 4k image processing, while the frame rate requirements for higher rates are not involved.
Today, communication technology is rapidly developing, and multimedia is integrated into people's life and work. Along with the transition of video from analog to digital, the requirements of people on definition, smoothness and real-time of video quality are higher and higher, and a video compression technology becomes an important link for solving the problem. The digital video information has huge data volume, occupies extremely large storage space and channel bandwidth, and restricts the expansion of the video communication industry. In the bandwidth-limited channel, the use of compression coding techniques to reduce the amount of data transmitted is an important means of improving the communication speed. In view of the current state of multimedia communications, the trend in the future, the storage and transmission of digitized video information in compressed form over a considerable period of time will then still be the only way.
In general, image compression uses a fixed number of bits, is relatively simple in hardware practice, we employ dynamic high-magnification compression, and is simplified with reference to the specifications of DSC. Although DSC adopts dynamic compression, the control of the bit number is relatively complex, and cannot be controlled by a simple mechanism. The conventional compression uses a fixed compression bit number, resulting in reduced compression flexibility, and different image contents cannot select the most suitable coding mode most effectively, and there is a problem of different quality due to the difference of the image contents.
Accordingly, there is a need in the art for improvements.
Disclosure of Invention
In the prior art, the conventional compression uses a fixed compression bit number, which results in reduced compression flexibility, different image contents cannot select the most suitable coding modes most effectively, and the quality is different due to the difference of the image contents.
In a first aspect, the present invention provides a dynamic image compression method, which includes the following steps:
s1, dividing an original image into a plurality of image blocks;
s2, analyzing the image block and recording data information in the image block;
s3, selecting an encoding mode to dynamically compress the image block according to the data information in the image block, and storing the compressed bit stream into a static random access memory.
In one implementation, in S2, the data information of the image block includes a smoothness degree, a color distribution, and a feature point of a restored compression value of the image block, where the feature point of the restored compression value includes a noise degree, a color saturation, and an image property of the image data.
In one implementation, in S3, the compressed bitstream is stored in a static random access memory that is less than 3 times the frame buffer.
In one implementation, the method further comprises the steps of: s4, according to the access logic during compression, dynamic reverse decompression is carried out corresponding to different decoding modes, and an original image is obtained.
In one implementation manner, in S3, the selecting the encoding manner to dynamically compress the image block includes dynamically controlling a compressed bitstream during dynamic compression, and specifically includes:
s31, controlling the actual bit number according to the currently used bit number and the bit number which can be used by the maximum reference compression ratio;
s32, adjusting the quantization level and limiting the range of the maximum compression bit number so that the actually used bit number does not exceed the maximum usable bit number of the compression rate;
s33, monitoring and adjusting the total usage of the bit number, so that the total usage of the bit number of the image block is averaged under the dynamic compression condition.
In one implementation, in S32, specifically includes: and dynamically adjusting the limit range of the quantization level and the maximum compression bit number according to the proportion exceeding the reference compression value, and increasing the value of the quantization level when the proportion of the maximum usable bit number exceeds the compression rate by more than one time compared with the value of the bit number, and simultaneously reducing the limit range of the maximum compression bit number.
In one implementation, in S33, specifically includes: the method comprises the steps of monitoring the total usage amount of dynamic bits through an error tolerance mechanism, selecting a final coding mode according to the coding length and coding errors when the number of the dynamic bits exceeds a specific proportion of a reference compression value, and selecting a short coding mode for reducing the total number of bits when the shorter coding error value is compared with the longer coding error value and the higher error is in a set tolerance range.
The invention also provides an image dynamic compression device, which comprises an image segmentation module, a feature extraction module and a compression storage module, wherein the image segmentation module is used for segmenting an original image into a plurality of image blocks; the feature extraction module is used for analyzing the image block and recording data information in the image block; the compression storage module is used for selecting an encoding mode to dynamically compress the image block according to the data information in the image block, and storing the compressed bit stream into a static random access memory.
In a third aspect, the present invention further provides a computer device, including a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the image dynamic compression method described in any one of the above when executing the computer program.
In a fourth aspect, the present invention also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the image dynamic compression method of any of the above.
The beneficial effects are that: in the invention, the compression processing comprises images with different complexity degrees by adopting a dynamic compression mode, the image blocks are dynamically compressed by selecting the coding mode, and the compressed bit stream is stored in the static random access memory, so that the cost of storing the whole frame buffer can be reduced, and the hardware cost is reduced; compared with dynamic compression of DSC, the control of the bit number is simpler, and the compression quality average of the whole image content can be ensured under the control of a simple flow; different image contents can be properly processed, so that the compression of high multiplying power can be achieved, and the average compression quality among different images can be maintained.
Drawings
FIG. 1 is a flowchart illustrating steps of a method for dynamic compression of images according to the present invention;
FIG. 2 is a flowchart showing the specific steps of S3 shown in FIG. 1;
FIG. 3 is a schematic diagram of the adjustment of the quantization level and the maximum compression bit in S32 shown in FIG. 2;
FIG. 4 is a block diagram of an image compression apparatus according to the present invention;
fig. 5 is a schematic block diagram of a computer device according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1-3 in combination, fig. 1 is a flowchart illustrating steps of a method for dynamic compression of an image according to the present invention, fig. 2 is a flowchart illustrating steps of S3 shown in fig. 1, and fig. 3 is a diagram illustrating adjustment of quantization levels and maximum compression bits in S32 shown in fig. 2. The invention provides an image dynamic compression method, which comprises the following steps:
s1, dividing an original image into a plurality of image blocks;
s2, analyzing the image block and recording data information in the image block;
s3, selecting an encoding mode to dynamically compress the image block according to the data information in the image block, and storing the compressed bit stream into a static random access memory;
s4, according to the access logic during compression, dynamic reverse decompression is carried out corresponding to different decoding modes, and an original image is obtained.
The image dynamic compression method provided by the invention can dynamically compress according to the data information of the image block, dynamically store the bit stream (bit stream) after dynamic compression into a Static Random Access Memory (SRAM), and dynamically and reversely decode according to different decoding modes by analyzing the bit stream in the SRAM when decompressing and corresponding to the access logic when compressing, so that the effect of the original image is still maintained when compressing at high multiplying power.
Specifically, in S1, the original image is divided, so that the data information of a plurality of image blocks can be analyzed conveniently. Image segmentation is an important means of acquiring a target region. The original image can be automatically segmented according to the characteristics of textures, colors and the like. In some embodiments, the segmentation may be performed using a multi-scale image segmentation method. The multi-scale image segmentation method adopts different segmentation scales to generate image object layers with different scales, so that image data with fixed resolution is composed of data with different resolutions, a hierarchical structure similar to an earth surface entity is constructed, transmission of original pixel data among different spatial scales is realized, the method is suitable for specific application requirements, and a target area is effectively separated from a background.
In S2, the data information of the image block includes the smoothness, color distribution, and feature points of the restored compression value of the image block. The image block refers to a subset of image pixels, records the smoothness and color distribution of the image pixels, and can be divided into a detail layer and a smooth layer according to the detail level of the image during subsequent dynamic compression, and performs different compression processes. Further, the feature points of the reduction compression value comprise noise degree, color saturation and image property of the image data, and follow-up selective compression reduction coding is carried out according to the data information;
in S3, the compressed bit stream is stored in a static random access memory (sram) that is smaller than a 3-fold frame buffer (frame buffer). That is, in the present invention, an SRAM is provided for dynamically storing bit streams, and the storage amount is smaller than that of 3 times frame buffer. Wherein the SRAM can transmit or store the bit stream stored dynamically through a network in a memory such as a disk.
In the invention, compression is performed based on DSC (Displaystream compression ) compression algorithm standard, and the compression process follows a transmission layer specification, such as MIPI DSI, and uses the transmission layer to transmit DSC bit stream from source end to destination end.
Further, in S3, the selecting the encoding mode to dynamically compress the image block includes dynamically controlling the compressed bitstream during dynamic compression, and specifically includes:
s31, controlling the actual bit number according to the currently used bit number and the bit number which can be used by the maximum reference compression ratio;
s32, adjusting the quantization level and limiting the range of the maximum compression bit number so that the actually used bit number does not exceed the maximum usable bit number of the compression rate;
s33, monitoring and adjusting the total usage of the bit number, so that the total usage of the bit number of the image block is averaged under the dynamic compression condition.
In this step, the number of bits used is controlled according to the number of bits currently used and the number of bits that can be used at the maximum reference compression ratio, so as to adjust the use states of different video contents and video sections. When the dynamic bit number control mechanism is realized, the limit range of the quantization level and the maximum compression bit number is determined according to the proportion exceeding the reference compression value.
The essence of the compression algorithm is that repeated and invalid information in data is processed, so that the repeated and invalid information can be stored and transmitted more efficiently. The compression multiple of the compression algorithm refers to the ratio of the size of the data after compression to the size of the original data, and the size of the compression multiple depends on different compression algorithms and the type of data to be compressed. Lossless compression is employed in the present invention. The lossless compression algorithm refers to compressing data without affecting the accuracy of the data. Lossless compression includes differential encoding, RLE, huffman encoding, LZW encoding, and arithmetic encoding. Compression algorithms for lossless compression have a small compression ratio, typically around 2 times.
In S32, specifically, the method includes: and dynamically adjusting the limit range of the quantization level (quantization level) and the maximum compression bit number according to the proportion exceeding the reference compression value, and increasing the quantization level compared with the value when the bit number is abundant when the proportion of the maximum usable bit number of the compression rate exceeds the compression rate by more than one time, and simultaneously reducing the limit range of the maximum compression bit number. If the ratio of the number of bits that can be used at the maximum compression ratio exceeds the multiple of the compression ratio, the quantization level is then increased and the limit range of the maximum compression number is reduced. When the number of bits actually used exceeds the number of bits usable by the compression ratio, the compression ratio is adjusted timely, and the range of the maximum number of bits is limited, so that the total use amount of dynamic bits is monitored.
Referring to fig. 3 in detail, in order to prevent the reconstructed result from being abrupt in the smooth area, the quantization level is reduced to ensure the quality of the image, while if the image content is a more complex texture area, the difference between the restored image and the original image is relatively insignificant, so that the quantization level can be slightly increased. By this step, it is ensured that the quality of the whole image content compressed in the dynamic compression condition is averaged, and the compression ratio concentrated in a certain area is not much higher than that in other areas.
In addition, an error tolerant mechanism is added in the dynamic bit control to reduce the total bit usage. In S33, specifically, the method includes: the method comprises the steps of monitoring the total usage amount of dynamic bits through an error tolerance mechanism, selecting a final coding mode according to the coding length and coding errors when the number of the dynamic bits exceeds a specific proportion of a reference compression value, and selecting a short coding mode for reducing the total number of bits when the shorter coding error value is compared with the longer coding error value and the higher error is in a set tolerance range.
In S4, the compressed image stored in the sram is decompressed reversely by inverse quantization, so as to obtain an original image.
Referring to fig. 4 in detail, fig. 4 is a structural frame diagram of an image dynamic compression device according to the present invention. The embodiment also provides an image dynamic compression device 100, which comprises an image segmentation module 10, a feature extraction module 20 and a compression storage module 30, which are sequentially connected. The image segmentation module 10 is configured to segment an original image into a plurality of image blocks; the feature extraction module 20 analyzes the image block and records data information in the image block; the compression storage module 30 is configured to select an encoding mode to dynamically compress the image block according to the data information in the image block, and store the compressed bitstream into a static random access memory.
The disclosure of the present application includes an image compression method and an image compressor. Since some of the components included in the image compressor of the present embodiment may be known components alone, the details of the known components will be omitted from the following description without affecting the full disclosure and implementation of the device embodiments. In addition, some or all of the procedures of the image compression method of the present invention may be in the form of software and/or firmware, and may be performed by the image compressor of the present invention or an equivalent device thereof, without affecting the full disclosure and implementation of the method embodiment, the following description of the method embodiment will focus on the step content rather than the hardware.
Referring to fig. 5, fig. 5 is a schematic block diagram of a computer device according to the present invention. The embodiment of the invention also provides a computer device, which can be a server, and the internal structure of the computer device can be shown in fig. 5. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the computer is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing voltage data and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a method for dynamic compression of images.
It will be appreciated by those skilled in the art that the architecture shown in fig. 5 is merely a block diagram of a portion of the architecture in connection with the present inventive arrangements and is not intended to limit the computer devices to which the present inventive arrangements are applicable.
An embodiment of the present invention further provides a computer readable storage medium having a computer program stored thereon, where the computer program when executed by a processor implements a method for dynamic compression of images. It is understood that the computer readable storage medium in this embodiment may be a volatile readable storage medium or a nonvolatile readable storage medium.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium provided by the present invention and used in embodiments may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual speed data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
In summary, the image dynamic compression method, the device, the computer equipment and the computer readable storage medium provided by the invention have the advantages that the compressed bit stream is dynamically stored in the static random access memory by adopting the dynamic compression mode to compress images with different complexity, so that the cost of storing the whole frame buffer can be greatly reduced, and the hardware cost is reduced; compared with dynamic compression of DSC, the control of the bit number is simpler, and the compression quality average of the whole image content can be ensured under the control of a simple flow; different image contents can be properly processed, so that the compression of high multiplying power can be achieved, and the compression quality among different images can be maintained.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. An image dynamic compression method is characterized by comprising the following steps:
s1, dividing an original image into a plurality of image blocks;
s2, analyzing the image block and recording data information in the image block;
s3, selecting an encoding mode to dynamically compress the image block according to the data information in the image block, and storing the compressed bit stream into a static random access memory.
2. The method according to claim 1, wherein in S2, the data information of the image block includes a smoothness degree of the image block, a color distribution, and feature points of a restored compression value, the feature points of the restored compression value including a noise degree, a color saturation, and an image property of the image data.
3. The method according to claim 1, wherein in S3, specifically, the compressed bitstream is stored in a sram of less than 3 times frame buffer.
4. The method of dynamic image compression according to claim 1, further comprising the steps of:
s4, according to the access logic during compression, dynamic reverse decompression is carried out corresponding to different decoding modes, and an original image is obtained.
5. The method for dynamic compression of video according to claim 1, wherein in S3, the selecting the encoding mode to dynamically compress the video block includes dynamically managing the compressed bitstream during dynamic compression, and specifically includes:
s31, controlling the actual bit number according to the currently used bit number and the bit number which can be used by the maximum reference compression ratio;
s32, adjusting the quantization level and limiting the range of the maximum compression bit number so that the actually used bit number does not exceed the maximum usable bit number of the compression rate;
s33, monitoring and adjusting the total usage of the bit number, so that the total usage of the bit number of the image block is averaged under the dynamic compression condition.
6. The method of dynamic compression of images according to claim 5, wherein in S32, specifically comprising:
and dynamically adjusting the limit range of the quantization level and the maximum compression bit number according to the proportion exceeding the reference compression value, and increasing the value of the quantization level when the proportion of the maximum usable bit number exceeds the compression rate by more than one time compared with the value of the bit number, and simultaneously reducing the limit range of the maximum compression bit number.
7. The method of dynamic compression of images according to claim 5, wherein in S33, specifically comprising:
the method comprises the steps of monitoring the total usage amount of dynamic bits through an error tolerance mechanism, selecting a final coding mode according to the coding length and coding errors when the number of the dynamic bits exceeds a specific proportion of a reference compression value, and selecting a short coding mode for reducing the total number of bits when the shorter coding error value is compared with the longer coding error value and the higher error is in a set tolerance range.
8. An image dynamic compression device, comprising:
the image segmentation module is used for segmenting an original image into a plurality of image blocks;
the feature extraction module is used for analyzing the image block and recording data information in the image block;
and the compression storage module is used for selecting an encoding mode to dynamically compress the image block according to the data information in the image block, and storing the compressed bit stream into a static random access memory.
9. A computer device comprising a memory and a processor, the memory having stored therein a computer program, characterized in that the processor, when executing the computer program, implements the steps of the image dynamic compression method according to any one of claims 1 to 7.
10. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program when executed by a processor realizes the steps of the image dynamic compression method according to any of claims 1 to 7.
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