CN107968947A - A kind of video compress sensory perceptual system and data processing method based on DSP - Google Patents
A kind of video compress sensory perceptual system and data processing method based on DSP Download PDFInfo
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- 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
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- 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
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Abstract
The invention discloses a kind of video compress sensory perceptual system and data processing method based on DSP, code system is conciliate including connected coded system, the coded system includes the first dsp processor, camera, clock circuit, the SDRAM holder power modules being electrically connected with the first dsp processor, the coded system further includes FLASH holders, decoder, and FLASH holders, decoder are electrically connected with the first dsp processor；The solution code system includes decoder, the second dsp processor being electrically connected with decoder.Under DSP controls, compression sampling is completed by means of memory by digital camera by the present invention, effectively realize that spatial domain compressed sensing is imaged, and compressed sensing domain estimation is completed on this basis, and the compression domain prediction encoding and decoding of video, it is finally completed video compress and perceives reconstruction.The cost of implementation for being compressed into picture is reduced, compared with convention video encodes, reduces the demand of the transmission bandwidth of memory space, reduces computational complexity, improve the efficiency of encoding and decoding.
Description
Technical field
The present invention relates to image, video signal treatment technique field, is specifically related to compression image system hardware and realizes neck
Compressed sensing, estimation, encoding and decoding and the video reconstruction method in domain.
Background technology
Compressed sensing (compressive sensing, CS) imaging is the new theory and skill that last decade grows up
Art.Classical signal sampling must comply with nyquist sampling theorem, its sample frequency is at least twice of signal highest frequency；
Traditional images video is based on nyquist sampling, then using H.264 waiting compression method to be compressed, discarding bulk redundancy information,
Waste substantial amounts of memory space and computing resource.And compressed sensing takes full advantage of letter premised on sparse signal representation theory
Number itself structure it is openness, by selecting suitable calculation matrix, to realize signal at the same time far below nyquist sampling rate
Compression and sampling.Compressive sensing theory brings the change of signal acquisition theory, in analog information conversion, is compressed into picture, radar
The fields such as imaging, medical imaging and wireless sensor network have broad application prospects.
In recent years, domestic and foreign scholars have carried out numerous studies to the imaging system based on compressed sensing, these researchs are mostly
Around the purpose for realizing space light modulation.2006, the proposition such as rice university Baraniuk utilized Digital Micromirror Device (DMD)
With the single pixel camera of single pixel detector, but control it is complicated, of high cost, real-time is poor.Fergus of MIT etc. proposes base
In the random lens camera model of random reflected minute surface, there are super-resolution and estimation of Depth ability, but lens calibration complicated and time consumption,
Storage demand is big, image taking speed is low.The COMP-I seminar of Duke universities proposes the imaging system based on code aperture technology, but
The system structure is complicated, it is difficult to realize.Robucci etc. (2008) proposes CMOS compression imaging devices, but the same system is deposited
Storage demand is big, power consumption is larger, realizes complicated.Jacques etc. (2009) proposes the CMOS compression imaging methods based on random convolution,
The system is realized simply, but image acquisition efficiency is low, power consumption is big.Compression imaging research is mostly realized in transform domain at present, is realized
Cost is very high, and difficulty is larger.The compressed sensing video coding system for how establishing the spatial domain being realized with a low cost is realized, is research
Personnel are compressed sensing imaging field is unanimously explored the problem of.
The content of the invention
The present invention provides a kind of video compress sensory perceptual system and data processing method based on DSP, it is intended to solves existing skill
Defect present in art.
Technical solution is used by the present invention a kind of video compress sensory perceptual system and data processing method based on DSP：
A kind of video compress sensory perceptual system based on DSP, including connected coded system conciliate code system, the coding system
System includes the first dsp processor, camera, clock circuit, the SDRAM holder power supply moulds being electrically connected with the first dsp processor
Block, the coded system further include FLASH holders, decoder, and FLASH holders, decoder and the first dsp processor are electrically connected
Connect；The solution code system includes decoder, the second dsp processor being electrically connected with decoder；
The scene that first dsp processor shoots camera carries out digital imagery, completes compression sampling, the pressure of image
Contracting domain estimation and predictive coding, then to digital signal output；
The clock circuit produces the clock signal used in measuring system；
Original video frame of the SDRAM holders storage from decoding unit reading and the institute in the video frame processing procedure
There is digital image information；
The FLASH program storages store the various data processing algorithm programs used in the first dsp processor；
Power supply needed for the power module supply measuring system；
The signal that the encoder exports the first dsp processor encodes, and sends decoder to；
The decoder decodes signal, sends the second dsp processor to；
Signal is reconstructed in second dsp processor.
The encoder is also electrically connected with communications interface unit；Communications interface unit is connected with decoder.
A kind of video compress perception data processing method based on DSP, comprises the following steps：
Initialization system：Camera carries out Initialize installation, and given screen buffer；
(1) camera shoots a complete video frame, is then passed on the first dsp processor, preserves to SDRAM holders
In, while reference frame and target frame are read out and cached respectively；
Video frame is divided into many sub-blocks, while given observing matrix by (2) first dsp processors, is adopted using BPRS compressions
Sample observing matrix, sampling is compressed by each sub-block of reference frame and target frame respectively, and compression measurement result is saved in
Buffer in SDRAM holders；
(3) to reference frame and target frame, mapped using former address, the data after each sub-block compression sampling of image are reflected respectively
It is mapped to image atomic block position；
(4) reference frame and target frame same position sub-block are compressed domain estimation using block matching algorithm, obtained
Compression domain motion vector；
(5) to reference frame, image subblock compression sampling result is compressed coding, to target frame, compression domain is estimated
Motion vector be compressed coding, be then passed on solution code system；
(6) decoder of code system is solved, the compression sampling of reference frame is decoded, obtains the pressure of reference frame image sub-block
Contracting sampled result, while to target frame decoding, obtain compression domain motion vector；
The compression sampling of target frame motion vector combination reference frame that (7) second dsp processors are obtained based on decoding as a result,
Motion compensation is carried out, obtains the compression sampling of target frame；
(8) second dsp processors are reconstructed reference frame and target frame by compression reconfiguration method.
In step (2), the step of each sub-block of reference frame and target frame is compressed sampling respectively, is：
(1) by reference frame and target frame in the same fashion, it is divided into the sub-block of n × n sizes, each sub-block is according to identical suitable
Sequence forms a line vectorial Xi；
(2) a random units dither matrix is selected as calculation matrix A；
(3) compression sampling result Yi is obtained by formula Yi=A × Xi, and compression sampling result is saved in data buffering
Qu Zhong；
(4) each sub-block compression sampling is handled by parallelisation procedure to improve processing speed.
In the step (3), former address map the step of be：
(1) for reference frame or target frame, according to the sub-block distribution mode in step (2), each sub-block is recorded at one
Complete video frame it is position encoded；
(2) sub-block locations all to reference frame coding, searches for the compression sampling in buffering area as a result, and being rearranged for
n1×m1New sub-block form, and be stored in SDRAM holders；
(3) sub-block locations all to target frame coding, searches for the compression sampling in buffering area as a result, and being rearranged for
n1×m1New sub-block form, and be stored in SDRAM holders；
(4) each sub-block compression sampling former address is mapping through parallelisation procedure processing to improve processing speed.
In the step (4), for any sub-block after reference frame or the mapping of target frame compression sampling former address, using diamond shape
The block matching method of search calculates the step of compressed sensing domain motion vector and is：
(1) scan for calculating in the most middle of image and around its 8 points, if finding minimal error point in image
Center, then start operating procedure (3), otherwise perform step (2)；
(2) error dot in previous step is taken as sample point again, is calculated with larger template, if the result is that most
Small error dot still in central point, with regard to carrying out step (3), otherwise repeats the step and scans for again；
(3) from center point, continue the replacement operation of previous step, make large form into small template, calculate at 5 points,
Minimal error point is found out, optimum movement vector is exactly the position corresponding to the point；
(4) each sub-block compression is handled to improve processing speed with estimation by parallelisation procedure.
In step (5), (6), algorithm is encoded using adaptive entropy, processing procedure is：(1) video frame compression domain is carried out
The binarization of syntactic element；(2) context model in video frame compression domain is selected；(3) progress of numeric field data probability will be compressed
Adaptive updates；(4) adaptive arithmetic code.
In step (7), the target frame compression sampling decoding compression sampling of motion compensation is decoded as：
Ct=f (Cr, MEt)
Cr is that the compression sampling of a certain sub-block of reference frame decodes, and MEt swears for target frame compression sampling decoding compression with movement
Amount decoding.
Wherein f (I, x) is sub-block displacement function, to all sub-blocks, samples and is handled with upper type, it can be deduced that target frame institute
There is the compression sampling decoded result of sub-block.
In step (8), the compressed sensing reconstruct of video frame uses TVAL3 restructing algorithms, and uses operator dynamically distributes
Memory techniques avoid committed memory excessive.
The beneficial effects of the invention are as follows：The present invention is complete by means of memory under DSP controls by digital camera
Into compression sampling, effectively realize that spatial domain compressed sensing is imaged, and complete compressed sensing domain estimation on this basis, and
The compression domain prediction encoding and decoding of video, are finally completed video compress and perceive reconstruction.The cost of implementation of video imaging is reduced, it is and normal
Rule Video coding is compared, and is reduced the demand of the transmission bandwidth of memory space, is reduced computational complexity, improves encoding and decoding
Efficiency.
Brief description of the drawings
Fig. 1 is the coding side structure diagram of present system；
Fig. 2 is the system flow chart of the present invention.
Embodiment
The present invention is described in detail with reference to the accompanying drawings and detailed description.
As shown in Figure 1, a kind of video compress sensory perceptual system based on DSP, including connected coded system conciliate code system,
The coded system includes the first dsp processor, the camera being electrically connected with the first dsp processor, clock circuit, SDRAM storages
Storage power module, the coded system further include FLASH holders, decoder, FLASH holders, decoder and the first DSP
Processor is electrically connected；The solution code system includes decoder, the second dsp processor being electrically connected with decoder；
The scene that first dsp processor shoots camera carries out digital imagery, completes compression measurement, the pressure of image
Contracting domain estimation and predictive coding, then to digital signal output；
The clock circuit produces the clock signal used in measuring system；
Original video frame of the SDRAM holders storage from decoding unit reading and the institute in the video frame processing procedure
There is digital image information；
The FLASH program storages store the various data processing algorithm programs used in the first dsp processor；
Power supply needed for the power module supply measuring system；
The signal that the encoder exports the first dsp processor encodes, and sends decoder to；
The decoder decodes signal, sends the second dsp processor to；
Signal is reconstructed in second dsp processor.
The encoder is also electrically connected with communications interface unit；Communications interface unit is connected with decoder.
Embodiment 1
As shown in Fig. 2, a kind of video compress perception data processing method based on DSP of the present invention, comprises the following steps：
Initialization system：Camera carries out Initialize installation, and given screen buffer；
(1) camera shoots a complete video frame, is then passed on the first dsp processor, preserves to SDRAM holders
In, while reference frame and target frame are read out and cached respectively；
Video frame is divided into many sub-blocks, while given observing matrix by (2) first dsp processors, is adopted using BPRS compressions
Sample algorithm, sampling is compressed by each sub-block of reference frame and target frame respectively, and compression measurement result is saved in buffering
In SDRAM holders；
(3) to reference frame and target frame, mapped using former address, the data after each sub-block compression sampling of image are reflected respectively
It is mapped to image atomic block position；
(4) reference frame and target frame same position sub-block are compressed domain estimation using block matching algorithm, obtained
Compression domain motion vector；
(5) to reference frame, image subblock compression sampling result is compressed coding, to target frame, compression domain is estimated
Motion vector be compressed coding, be then passed on solution code system；
In step (2), the step of each sub-block of reference frame and target frame is compressed sampling respectively, is：
(1) by reference frame and target frame in the same fashion, it is divided into the sub-block of n × n sizes, each sub-block is according to identical suitable
Sequence forms a line vectorial Xi；
(2) a random units dither matrix is selected as calculation matrix A；
(3) compression sampling result Yi is obtained by formula Yi=A × Xi, and compression sampling result is saved in data buffering
Qu Zhong；
(4) each sub-block compression sampling is handled by parallelisation procedure to improve processing speed.
In the step (3), former address map the step of be：
(1) for reference frame or target frame, according to the sub-block distribution mode in step (2), each sub-block is recorded at one
Complete video frame it is position encoded；
(2) sub-block locations all to reference frame coding, searches for the compression sampling in buffering area as a result, and being rearranged for
n1×m1New sub-block form, and be stored in SDRAM holders；
(3) sub-block locations all to target frame coding, searches for the compression sampling in buffering area as a result, and being rearranged for
n1×m1New sub-block form, and be stored in SDRAM holders；
(4) each sub-block compression sampling former address is mapping through parallelisation procedure processing to improve processing speed.
In the step (4), for any sub-block after reference frame or the mapping of target frame compression sampling former address, using diamond shape
The block matching method of search calculates the step of compressed sensing domain motion vector and is：
(1) scan for calculating in the most middle of image and around its 8 points, if finding minimal error point in image
Center, then start operating procedure (3), otherwise perform step (2)；
(2) error dot in previous step is taken as sample point again, is calculated with larger template, if the result is that most
Small error dot still in central point, with regard to carrying out step (3), otherwise repeats the step and scans for again；
(3) from center point, continue the replacement operation of previous step, make large form into small template, calculate at 5 points,
Minimal error point is found out, optimum movement vector is exactly the position corresponding to the point；
(4) each sub-block compression is handled to improve processing speed with estimation by parallelisation procedure.
In step (5), algorithm is encoded using adaptive entropy, processing procedure is：(1) grammer in video frame compression domain is carried out
The binarization of element；(2) context model in video frame compression domain is selected；(3) it is the carry out for compressing numeric field data probability is adaptive
It should update；(4) adaptive arithmetic code.
Embodiment 2
As the preferred embodiment of above-described embodiment, in the present embodiment as shown in Figure 2, solution code system decoding is by following step
Rapid composition：
(1) decoder of code system is solved, the compression sampling of reference frame is decoded, obtains the pressure of reference frame image sub-block
Contracting sampled result, while to target frame decoding, obtain compression domain motion vector；
The compression sampling of target frame motion vector combination reference frame that (2) second dsp processors are obtained based on decoding as a result,
Motion compensation is carried out, obtains the compression sampling of target frame；
(3) second dsp processors are reconstructed reference frame and target frame by compression reconfiguration method.
In step (1), algorithm is encoded using adaptive entropy, processing procedure is：(1) the grammer member in video frame compression domain is carried out
The binarization of element；(2) context model in video frame compression domain is selected；(3) it is the carry out for compressing numeric field data probability is adaptive
Renewal；(4) adaptive arithmetic code.
In step (2), the target frame compression sampling decoding compression sampling of motion compensation is decoded as：
Ct=f (Cr, MEt)
Cr is that the compression sampling of a certain sub-block of reference frame decodes, and MEt swears for target frame compression sampling decoding compression with movement
Amount decoding.
Wherein f (I, x) is sub-block displacement function, to all sub-blocks, samples and is handled with upper type, it can be deduced that target frame institute
There is the compression sampling decoded result of sub-block.
In step (3), the compressed sensing reconstruct of video frame uses TVAL3 restructing algorithms, and uses operator dynamically distributes
Memory techniques avoid committed memory excessive.
Claims (9)
1. a kind of video compress sensory perceptual system based on DSP, including connected coded system conciliate code system, the coded system
Including the first dsp processor, the camera being electrically connected with the first dsp processor, clock circuit, SDRAM holder power modules,
It is characterized in that：The coded system further includes FLASH holders, decoder, at FLASH holders, decoder and the first DSP
Device is managed to be electrically connected；The solution code system includes decoder, the second dsp processor being electrically connected with decoder；
The scene that first dsp processor shoots camera carries out digital imagery, completes compression sampling, the compression domain of image
Estimation and predictive coding, then to digital signal output；
The clock circuit produces the clock signal used in measuring system；
Original video frame of the SDRAM holders storage from decoding unit reading and all numbers in the video frame processing procedure
Word image information；
The FLASH program storages store the various data processing algorithm programs used in the first dsp processor；
Power supply needed for the power module supply measuring system；
The signal that the encoder exports the first dsp processor encodes, and sends decoder to；
The decoder decodes signal, sends the second dsp processor to；
Signal is reconstructed in second dsp processor.
A kind of 2. video compress sensory perceptual system based on DSP as claimed in claim 1, it is characterised in that：The encoder is also
It is electrically connected with communications interface unit；Communications interface unit is connected with decoder.
3. a kind of video compress perception data processing method based on DSP, it is characterised in that comprise the following steps：
Initialization system：Camera carries out Initialize installation, and given screen buffer；
(1) camera shoots a complete video frame, is then passed on the first dsp processor, preserves into SDRAM holders,
Reference frame and target frame are read out and cached respectively at the same time；
Video frame is divided into many sub-blocks, while given observing matrix by (2) first dsp processors, random using Bernoulli Jacob's pulse
(BPRS) compression sampling matrix, sampling is compressed by each sub-block of reference frame and target frame respectively, and compression measurement is tied
Fruit is saved in buffering SDRAM holders；
(3) to reference frame and target frame, mapped using former address, the data after each sub-block compression sampling of image are respectively mapped to
Image atomic block position；
(4) reference frame and target frame same position sub-block are compressed domain estimation using block matching algorithm, are compressed
Domain motion vector；
(5) to reference frame, image subblock compression sampling result is compressed coding, to target frame, the fortune that compression domain is estimated
Dynamic vector is compressed coding, is then passed on solution code system；
(6) decoder of code system is solved, the compression sampling of reference frame is decoded, the compression for obtaining reference frame image sub-block is adopted
Sample obtains compression domain motion vector as a result, at the same time to target frame decoding；
The compression sampling for the target frame motion vector combination reference frame that (7) second dsp processors are obtained based on decoding is as a result, carry out
Motion compensation, obtains the compression sampling of target frame；
(8) second dsp processors are reconstructed reference frame and target frame by compression reconfiguration method.
A kind of 4. video compress perception data processing method based on DSP as claimed in claim 3, it is characterised in that：In step
Suddenly in (2), the step of each sub-block of reference frame and target frame is compressed sampling respectively, is：
(1) by reference frame and target frame in the same fashion, it is divided into the sub-block of n × n sizes, each sub-block is arranged according to same sequence
Into a column vector Xi；
(2) Bernoulli Jacob's random units dither matrix is selected as calculation matrix A；
(3) compression sampling result Yi is obtained by formula Yi=A × Xi, and compression sampling result is saved in data buffer zone
In；
(4) each sub-block compression sampling is handled by parallelisation procedure to improve processing speed.
A kind of 5. video compress perception data processing method based on DSP as claimed in claim 3, it is characterised in that：It is described
In step (3), former address map the step of be：
(1) for reference frame or target frame, according to the sub-block distribution mode in step (2), it is complete at one to record each sub-block
Video frame it is position encoded；
(2) all to reference frame sub-block locations codings, the compression sampling searched in buffering area is as a result, and be rearranged for n1×m1
New sub-block form, and be stored in SDRAM holders；
(3) all to target frame sub-block locations codings, the compression sampling searched in buffering area is as a result, and be rearranged for n1×m1
New sub-block form, and be stored in SDRAM holders；
(4) each sub-block compression sampling former address is mapping through parallelisation procedure processing to improve processing speed.
A kind of 6. video compress perception data processing method based on DSP as claimed in claim 3, it is characterised in that：It is described
In step (4), for any sub-block after reference frame or the mapping of target frame compression sampling former address, using the Block- matching of diamond search
Method calculate compressed sensing domain motion vector the step of be：
(1) scan for calculating in the most middle of image and around its 8 points, if finding minimal error point in image
The heart, then start operating procedure (3), otherwise performs step (2)；
(2) error dot in previous step is taken as sample point again, is calculated with larger template, if the result is that minimum miss
Almost still, with regard to carrying out step (3), otherwise repeat the step in central point and scan for again；
(3) from center point, continue the replacement operation of previous step, make large form into small template, calculate at 5 points, find out
Minimal error point, optimum movement vector are exactly the position corresponding to the point；
(4) each sub-block compression is handled to improve processing speed with estimation by parallelisation procedure.
A kind of 7. video compress perception data processing method based on DSP as claimed in claim 3, it is characterised in that：In step
Suddenly in (5), (6), algorithm is encoded using adaptive entropy, processing procedure is：(1) the two of the syntactic element in video frame compression domain are carried out
Into inhibition and generation；(2) context model in video frame compression domain is selected；(3) the carry out adaptive updates of numeric field data probability will be compressed；
(4) adaptive arithmetic code.
A kind of 8. video compress perception data processing method based on DSP as claimed in claim 3, it is characterised in that：In step
Suddenly in (7), the target frame compression sampling decoding compression sampling of motion compensation is decoded as：
Ct=f (Cr, MEt)
Cr is that the compression sampling of a certain sub-block of reference frame decodes, and MEt is target frame compression sampling decoding compression and motion vector solution
Code.
Wherein f (I, x) is sub-block displacement function, to all sub-blocks, samples and is handled with upper type, it can be deduced that all sons of target frame
The compression sampling decoded result of block.
A kind of 9. video compress perception data processing method based on DSP as claimed in claim 3, it is characterised in that：In step
Suddenly in (8), the compressed sensing reconstruct of video frame uses TVAL3 restructing algorithms, and avoids taking using dynamic assigning memory technology
Memory is excessive.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109714598A (en) * | 2019-01-31 | 2019-05-03 | 上海国茂数字技术有限公司 | Coding method, coding/decoding method, processing method and the processing system for video of video |
| CN109743571A (en) * | 2018-12-26 | 2019-05-10 | 西安交通大学 | A kind of image encoding method based on parallelly compressed perception multilayer residual error coefficient |
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