CN107222749A - A kind of chaos code constructing method for wireless video transmission - Google Patents

A kind of chaos code constructing method for wireless video transmission Download PDF

Info

Publication number
CN107222749A
CN107222749A CN201710474738.5A CN201710474738A CN107222749A CN 107222749 A CN107222749 A CN 107222749A CN 201710474738 A CN201710474738 A CN 201710474738A CN 107222749 A CN107222749 A CN 107222749A
Authority
CN
China
Prior art keywords
mrow
real number
mtd
sebolic addressing
number symbol
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201710474738.5A
Other languages
Chinese (zh)
Other versions
CN107222749B (en
Inventor
吴俊�
谭彬
张冬冬
任浩琪
于威
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tongji University
Original Assignee
Tongji University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tongji University filed Critical Tongji University
Priority to CN201710474738.5A priority Critical patent/CN107222749B/en
Publication of CN107222749A publication Critical patent/CN107222749A/en
Application granted granted Critical
Publication of CN107222749B publication Critical patent/CN107222749B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169Methods 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
    • H04N19/177Methods 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 a group of pictures [GOP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/60Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/625Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using discrete cosine transform [DCT]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/238Interfacing the downstream path of the transmission network, e.g. adapting the transmission rate of a video stream to network bandwidth; Processing of multiplex streams
    • H04N21/2383Channel coding or modulation of digital bit-stream, e.g. QPSK modulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Discrete Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

The present invention relates to a kind of chaos code constructing method for wireless video transmission, comprise the following steps:S1, original video sequence is divided into multiple GOP, obtains each GOP DCT coefficient matrix, be the first real number symbol sebolic addressing by the DCT coefficient matrix conversion;S2, step S1 the first real number symbol sebolic addressing is mapped as by the second real number symbol sebolic addressing by the chaotic maps function of design;S3, the second real number symbol sebolic addressing obtained to step S2 carry out power distribution.Compared with prior art, the present invention makes full use of chaos system to the high sensitivity characteristic and the feature of extended distance of original state, simulation chaotically coding is applied in image/video transmission, with the robustness for improving transmission of video, the advantages of strengthening the reconstruction quality of transmission of video.

Description

A kind of chaos code constructing method for wireless video transmission
Technical field
The present invention relates to wireless video transmission field, constructed more particularly, to a kind of Constructing Chaotic Code for wireless video transmission Method.
Background technology
Nowadays, with the increasingly popularization of mobile Internet and widely using for intelligent terminal, web database technology presents quick-fried Fried property increases, wherein especially increasing most fast with image/video data.The newest report of Cisco's visual web statistics is shown, from 2016 Mobile video will increase by 8.7 times, be ranked first in the growth rate of all Mobile solutions by 2021 in year.It is mobile by 2021 Video will account for the 78% of mobile data total flow.On the other hand, traditional image/video reliability of communication system is relatively low, wired network The bandwidth time variation of network or the channel time variation of Radio Link cause image/video transmission mosaic occur or even break, and cause The bottleneck of systematic function.There is following problem in wireless video research field:One is mobility, such as user is hand-held Mobile equipment, position is ceaselessly changing, thus its channel be also in change, so the quality of channel be also Do not stop change;Two be the broadcast transmission for wireless video, and different users are in different places, and channel also has diversity special Property;Three be the popularization with Video Applications, and receiving terminal is from mobile phone to each one computer, their temporal resolution and spatial resolution It is all different.It is desirable to the quality that the transmission of video is obtained, it can be reached in certain range of channels quality relatively good Video quality, at the same time, it is desirable to which the quality of video can support multiresolution, including temporal resolution and spatial resolution.
In digital display circuit, channel coding is used to the bit stream of protection compression, and Analogvideotransmission also has similar want Ask.In Analogvideotransmission, without quantifying and entropy code, transmission be real value conversion coefficient, it is therefore traditional limited Domain channel coding is no longer applicable.Coding in analog image transmission of video is real coding, and we mainly study therein one Plant chaotically coding.
Early in the beginning of the eighties in last century, Wolf and Marshall have just each proposed relevant analog error correction coding respectively Concept.It is named as real coding in Marshall research work, it is referred to as into simulation in Wolf research compiles Code.Similar to the general principle of digital error correction, the good analog encoding of a performance should effectively amplify Europe by extended distance Family name's distance.Chen and Wornell has found that chaos dynamical system has the characteristics of this is excellent.It iteratively calls chaos Function generates signal sequence.Chaotic function is characterised by their rapid divergence, i.e. buterfly effect.The effect means Even the very small difference in initial input will also cause visibly different signal sequence quickly.From the angle of extended distance From the point of view of, this shows a pair of points closely in information source space, and the sequence after its coding will produce very big distance.Cause They propose first simulation chaotically coding for this, and this code Design is directly using non-linear and real value chaos Tent map It is used as channel coding.Liu will also simulate chaotically coding and be encoded for the pixel directly to image, because pixel is present largely Room and time redundancy, therefore efficiency is very low, and this does not meet the real scene of image/video transmission.The above is simulated Chaotically coding is all based on input information source obedience and is uniformly distributed and designs, but this hypothesis is not particularly suited for image and regarded Frequently.
The content of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide one kind is used for wireless video The chaos code constructing method of transmission.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of chaos code constructing method for wireless video transmission, comprises the following steps:
S1, original video sequence is divided into multiple GOP, each GOP DCT coefficient matrix obtained, by the DCT coefficient Matrix conversion is the first real number symbol sebolic addressing s;
S2, the first real number symbol sebolic addressing s described in step S1 is mapped as by the second real number by the chaotic maps function of design Symbol sebolic addressing, the formula of the chaotic maps function is:
S3, the second real number symbol sebolic addressing obtained to step S2 carry out power distribution.
The process that each GOP DCT coefficient matrix is obtained in the step S1 is specifically included:To each GOP points of division Not carry out 3-dimensional dct transform, obtain DCT coefficient matrix SL×W×G, wherein, L is height of the video sequence per two field picture, and W is video Width of the sequence per two field picture, G is the frame number of video sequence in a GOP.
The DCT coefficient matrix conversion is specifically included for the first real number symbol sebolic addressing in the step S1:By DCT coefficient Matrix SL×W×GIn element by row take out successively, then connect successively be arranged as single file the first real number symbol sebolic addressing s=s [i], I=0,1 ..., L × W × G-1 }.
The second real number symbol sebolic addressing x=that the step S2 is obtained x (i), i=0,1 ..., and L × W × G × n-1 } table Show, its length is m × n, wherein, m=L × W × G, n is bandwidth expansion factor.
The step S3 is specifically included:
S31, the second real number symbol sebolic addressing is recompiled, be converted into the real number matrix of two dimension Xchunk_num×chunk_size, wherein, chunk_num represents the block number in a GOP, and chunk_size represents block interior element Number;
S32, use pjJ-th piece of power, p are distributed in expressionjCalculation formula be:
Wherein, gjThe power-scaling factors of j-th piece of expression, λjJ-th piece of variance before analog encoding is represented,'s Calculation formula is:
Wherein, P represents general power, λjJ-th piece of the variance extended after ' expression process analog encoding, j=0, 1,…,chunk_num-1。
Compared with prior art, the present invention has advantages below:
1st, compared with traditional wireless video digit transmission method, the present invention makes full use of adaptive in analog encoding modulation Ying Xing, introduces the chaotic function based on analog encoding in pseudo-analog transmission SoftCast, can resist the letter in being wirelessly transferred Road noise and the robustness for improving data transfer, the reconstruction quality of transmission of video is strengthened while power utilization is improved.
2nd, encoded for the analog channel that real value is inputted, will be based on simulation using the DCT coefficient after conversion as input information source The chaotic function of coding is used for DCT code elements, iteratively calls some predefined chaotic maps functions to generate signal sequence Row, because a pair of small distance points in information source space will produce very big range difference in space encoder, utilize chaos The feature of the extended distance of dynamical system can generate the analog signal with robustness.
3rd, the chaotic maps function proposed from small to the signal of medium value for that can keep linear relationship, and big signal is reflecting Penetrating under the nonlinear characteristic of function to be folded back, for the input signal of class Gauss, and the output of coding still keeps similar substantially Statistical property, reduction power punishment, compared with input power, power output is increased slightly.
4th, the present invention solves the class Gaussian source power punishment problem for natural image in chaos analog encoding scheme, Can be suitable for the transmission of video images technology of Gaussian Profile, with very strong practicality.
Brief description of the drawings
Fig. 1 utilizes transmission schematic diagram of the inventive method under Gaussian channel for the DCT coefficient of original video sequence;
Fig. 2 is the functional image of traditional Tent map chaotically codings;
Fig. 3 is the functional image of traditional Mod map chaotically codings;
Fig. 4 is the image of chaotic maps function proposed by the invention;
Fig. 5 is the MSE performance schematic diagrames for being uniformly distributed information source under three chaotic maps functions;
Fig. 6 is MSE performance schematic diagram of the DCT coefficient of natural image under three chaotic maps functions.
Marked in figure:1st, chaotic encoder, 2, power distribution, 3, LLSE decoders, 4, chaos decoder.
Embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention Premised on implemented, give detailed embodiment and specific operating process, but protection scope of the present invention is not limited to Following embodiments.
In order to which analog encoding is applied in image/video transmission, a kind of Constructing Chaotic Code structure for wireless video transmission is proposed Method is made, a kind of chaotic maps function for generalized Gaussian distribution or the information source of laplacian distribution is specifically constructed, it is intended to Using this chaotic maps function, realize for keeping linear relationship from small to the signal of medium value, and big signal is in mapping letter It will be folded back under several nonlinear characteristics.Therefore, for the input signal of class Gauss, the output of coding still keeps similar substantially Statistical property;Compared with input power, power output is increased slightly.The statistics that the chaotic maps function considers signal source is special The mutual equilibrium relation of power between property, the error correcting capability of mapping function, primary signal and checking symbol.What is proposed is used for nothing The chaos code constructing method of line transmission of video, comprises the following steps:
S1, set up class Gaussian Profile information source:
S11, original video sequence is divided into multiple GOP;
S12, the DCT coefficient matrix for seeking each GOP:3-dimensional dct transform is carried out respectively to each GOP of division, DCT is obtained Coefficient matrix SL×W×G, wherein, L is height of the video sequence per two field picture, and W is width of the video sequence per two field picture, and G is one The frame number of video sequence in individual GOP;
S13, by DCT coefficient matrix conversion be the first real number symbol sebolic addressing:By DCT coefficient matrix SL×W×GIn element press Row takes out successively, then connects be arranged as the first real number symbol sebolic addressing s={ s [i], i=0,1 ..., L × W × G- of single file successively 1}。
S2, step S1 the first real number symbol sebolic addressing s is mapped as by the second real number by the chaotic maps function of design accorded with Number sequence, the formula of chaotic maps function is:
Functional image is as shown in figure 4, the second obtained real number symbol sebolic addressing x={ x (i), i=0,1 ..., L × W × G × n-1 } represent, its length is m × n, wherein, m=L × W × G, n is bandwidth expansion factor, and corresponding code check is 1/n;
S3, the second real number symbol sebolic addressing obtained to step S2 carry out power distribution:
S31, the second real number symbol sebolic addressing is recompiled, be converted into the real number matrix X of two dimensionchunk_num×chunk_size, its In, chunk_num represents the block number in a GOP, and chunk_size represents block interior element number, this also means that, matrix Xchunk_num×chunk_sizeIn often row represent that combination proximity space DCT block assembly and they all parity check symbols exist Together, each chunk shares identical power-scaling factors;
S32, use pjJ-th piece of corresponding power, p are distributed in expressionjCalculation formula be:
Wherein, gjThe power-scaling factors of j-th piece of expression, are to be used to minimize mean square error under power-limited condition Estimation, λjJ-th piece of variance before expression analog encoding,Calculation formula be:
Wherein, P represents general power, λj' represent to have done j-th piece of the variance extended after analog encoding, it is to be based on this The DCT components of individual block and their encoded parity symbols in this block are calculated, j=0,1 ..., chunk_num-1.
Fig. 1 show transmission schematic diagram of the DCT coefficient of original video sequence of the present invention under Gaussian channel, DCT coefficient Matrix carries out power distribution 2 after the coding of chaotic encoder 1, and the signal that receiving terminal is received addition of additive white Gaussian noise (AWGN), after linear minimum mean square estimation LLSE decoders 3, then the decoding of process chaos decoder 4 obtains original video sequence Row.The correctness and validity to the chaotic maps function of construction are verified below, estimate (MSE) to evaluate with mean square error Systematic function.
The symbol stream of reception is represented with z={ z [i], i=0,1 ..., m × n-1 }, its calculation formula is:
Z [i]=gi×x[i]+w′[i]
Wherein, i=0,1 ..., m × n-1,W [i] is that average is 0 and varianceChannel make an uproar Sound.
Receiving end signal obtains y [i] after LLSE is decoded, and can be rewritten as in the form of scalar:
The MSE finished in receiving terminal after LLSE decodings can be expressed as:
Wherein,Represent the variance of interchannel noise.
By the chaotic maps function of proposition and current state-of-the-art two chaotic maps function Tent map and Mod map letters Number compares, and its functional image difference is as shown in Figures 2 and 3.For the sake of justice, the analog encoding of all three mapping functions is set Symbol has identical mean power, and compares the MSE after their map decodings.Because the performance of chaotic maps function is to input The probability distribution of information source is quite sensitive, thus assess be uniformly distributed with both information sources of the DCT coefficient of natural image, they MSE performances are distinguished as shown in Figure 5 and Figure 6, wherein each figure compares the chaotic maps function Tent (Tent that encoding rate is 1/2 Half), chaotic maps function Mod (Mod Half), the chaotic maps function (Proposed Half) of proposition and encoding rate are 1/ 3 chaotic maps function Tent (Tent Third), chaotic maps function Mod (Mod Third), the chaotic maps function proposed The performance of (Proposed Third).
Fig. 5 show the MSE performances for being uniformly distributed information source under three chaotic maps functions.Because gain is mainly by dividing The slope of section linear function is obtained, therefore the overall performance of all three chaotic maps functions is approached.In high s/n ratio, 1/3 The analog encoding of code check is better than 1/2 code check analog encoding, but they are similar in low signal-to-noise ratio.
Fig. 6 is MSE performance of the DCT coefficient of natural image under three chaotic maps functions, no matter in 1/3 code check or The analog encoding of 1/2 code check, the MSE performances for the chaotic maps function that the application is proposed will be better than other two chaotic maps letters Number.
S and x mean power uses Ps and P respectivelyxRepresent, use Ps/PxRepresent power penalty coefficient, PsCalculating with Px is public Formula is respectively:
Power penalty coefficient Ps/PxIt is not only relevant with chaotic maps function, it is relevant also with the distribution of analog signal.Assess During the power punishment for four chaotic maps functions that Tent map, Mod map, Baker ' s map and the application are proposed, use respectively The information sources of three kinds of different distributions, as shown in table 1.For equally distributed source, all four chaotic functions are all no power Punishment.For the information source of Gaussian Profile, the power that the chaotic maps function that the application is proposed has 3.6dB is punished, and other three Mapping function generates 5.5~8.5dB power punishment respectively." DCT systems in GGD or laplacian distribution information source, i.e. table The difference then highly significant of number ", the mapping function proposed only only has 1dB power punishment, and other three mapping functions The power punishment more than 40dB can then be produced.
The power penalty coefficient of the different chaos mapping functions of table 1
Chaotic function It is uniformly distributed Gaussian Profile DCT coefficient
Tent map 0.0 5.5 42
Mod map 0.0 8.5 45
Baker’s map 0.0 5.5 42
Proposed map 0.0 3.6 1
Validity and superiority of the application compared to other method are understood by comparing, no matter in high s/n ratio or low Under the conditions of signal to noise ratio, with the application chaos code constructing method, the signal MSE mass of receiving terminal is all higher than other two kinds of chaos letters Number Tent map and Mod map.Meanwhile, using the Wireless video transmission method based on analog encoding, overcome conventional wireless and regard Keep pouring in it is defeated in cliff effect, realize when video is transmitted in wireless channel as variations can reach continuously Picture quality decays, while the video of receiving terminal can also reach high-quality reconstruction.

Claims (6)

1. a kind of chaos code constructing method for wireless video transmission, it is characterised in that comprise the following steps:
S1, original video sequence is divided into multiple GOP, each GOP DCT coefficient matrix obtained, by the DCT coefficient matrix Be converted to the first real number symbol sebolic addressing s;
S2, the first real number symbol sebolic addressing s described in step S1 is mapped as by the second real number symbol by the chaotic maps function of design Sequence, the formula of the chaotic maps function is:
<mrow> <mi>x</mi> <mo>=</mo> <mi>f</mi> <mrow> <mo>(</mo> <mi>s</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mn>2</mn> <mi>s</mi> <mo>+</mo> <mn>1</mn> </mrow> </mtd> <mtd> <mrow> <mo>-</mo> <mn>0.5</mn> <mo>&lt;</mo> <mi>s</mi> <mo>&amp;le;</mo> <mo>-</mo> <mn>0.25</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>2</mn> <mi>s</mi> </mrow> </mtd> <mtd> <mrow> <mo>-</mo> <mn>0.25</mn> <mo>&lt;</mo> <mi>s</mi> <mo>&amp;le;</mo> <mn>0.25</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>2</mn> <mi>s</mi> <mo>-</mo> <mn>1</mn> </mrow> </mtd> <mtd> <mrow> <mn>0.25</mn> <mo>&lt;</mo> <mi>s</mi> <mo>&amp;le;</mo> <mn>0.5</mn> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
S3, the second real number symbol sebolic addressing obtained to step S2 carry out power distribution.
2. a kind of chaos code constructing method for wireless video transmission according to claim 1, it is characterised in that described The process that each GOP DCT coefficient matrix is obtained in step S1 is specifically included:3-dimensional DCT is carried out respectively to each GOP of division Conversion, obtains DCT coefficient matrix SL×W×G, wherein, L is height of the video sequence per two field picture, and W is video sequence per two field picture Width, G is the frame number of video sequence in a GOP.
3. a kind of chaos code constructing method for wireless video transmission according to claim 2, it is characterised in that described The DCT coefficient matrix conversion is specifically included for the first real number symbol sebolic addressing in step S1:By DCT coefficient matrix SL×W×GIn Element taken out successively by row, then connect be arranged as the first real number symbol sebolic addressing s={ s [i], i=0,1 ..., L of single file successively ×W×G-1}。
4. a kind of chaos code constructing method for wireless video transmission according to claim 2, it is characterised in that described The second real number symbol sebolic addressing x={ x (i), i=0,1 ..., L × W × G × n-1 } that step S2 is obtained represents that its length is m × n, wherein, m=L × W × G, n is bandwidth expansion factor.
5. a kind of chaos code constructing method for wireless video transmission according to claim 1, it is characterised in that described Step S3 is specifically included:
S31, the second real number symbol sebolic addressing is recompiled, be converted into the real number matrix X of two dimensionchunk_num×chunk_size, its In, chunk_num represents the block number in a GOP, and chunk_size represents block interior element number;
S32, use pjJ-th piece of power, p are distributed in expressionjCalculation formula be:
<mrow> <msub> <mi>p</mi> <mi>j</mi> </msub> <mo>=</mo> <msubsup> <mi>g</mi> <mi>j</mi> <mn>2</mn> </msubsup> <msub> <mi>&amp;lambda;</mi> <mi>j</mi> </msub> </mrow>
Wherein, gjThe power-scaling factors of j-th piece of expression, λjRepresent j-th piece of variance before analog encoding.
6. a kind of chaos code constructing method for wireless video transmission according to claim 5, it is characterised in that described In step S32Calculation formula be:
<mrow> <msubsup> <mi>g</mi> <mi>j</mi> <mn>2</mn> </msubsup> <mo>=</mo> <mfrac> <mi>P</mi> <mrow> <msqrt> <msubsup> <mi>&amp;lambda;</mi> <mi>j</mi> <mo>&amp;prime;</mo> </msubsup> </msqrt> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>c</mi> <mi>h</mi> <mi>u</mi> <mi>n</mi> <mi>k</mi> <mo>_</mo> <mi>n</mi> <mi>u</mi> <mi>m</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msqrt> <msubsup> <mi>&amp;lambda;</mi> <mi>k</mi> <mo>&amp;prime;</mo> </msubsup> </msqrt> </mrow> </mfrac> </mrow>
Wherein, P represents general power, λ 'jJ-th piece of the variance extended after expression process analog encoding, j=0,1 ..., chunk_num-1。
CN201710474738.5A 2017-06-21 2017-06-21 A kind of chaos code constructing method for wireless video transmission Active CN107222749B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710474738.5A CN107222749B (en) 2017-06-21 2017-06-21 A kind of chaos code constructing method for wireless video transmission

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710474738.5A CN107222749B (en) 2017-06-21 2017-06-21 A kind of chaos code constructing method for wireless video transmission

Publications (2)

Publication Number Publication Date
CN107222749A true CN107222749A (en) 2017-09-29
CN107222749B CN107222749B (en) 2019-10-18

Family

ID=59950465

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710474738.5A Active CN107222749B (en) 2017-06-21 2017-06-21 A kind of chaos code constructing method for wireless video transmission

Country Status (1)

Country Link
CN (1) CN107222749B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108111255A (en) * 2017-11-24 2018-06-01 同济大学 Interpretation method based on maximum a posteriori probability in a kind of analog encoding
CN108494522A (en) * 2018-01-25 2018-09-04 同济大学 A kind of building method of numerical model analysis Constructing Chaotic Code

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110142302A1 (en) * 2009-12-10 2011-06-16 Complex System, Inc. Chaotic Watermarking for a Digital Image
CN102123026A (en) * 2011-04-12 2011-07-13 南开大学 Chaos and hyperchaos based two-level video streaming media encryption method
CN102722856A (en) * 2012-06-06 2012-10-10 北京联合大学 Digital image encryption method of DCT domain based on three dimensional Lorenz chaotic mapping
CN104683811A (en) * 2013-11-29 2015-06-03 中国科学院声学研究所 Information hiding and extracting method based on integer DCT (Discrete Cosine Transformation) coefficient modulation
CN105871537A (en) * 2016-06-16 2016-08-17 广东工业大学 Video communication method and device based on chaotic encryption
CN105979268A (en) * 2016-05-05 2016-09-28 北京智捷伟讯科技有限公司 Safe information transmission method based on lossless watermark embedding and safe video hiding
CN106028175A (en) * 2016-06-21 2016-10-12 中国农业大学 Method and device for realizing zero watermark of video
CN106303756A (en) * 2016-10-10 2017-01-04 中国农业大学 A kind of method and device for video copyright protecting
CN106408621A (en) * 2016-09-20 2017-02-15 山东科技大学 Image compression encryption and decryption method based on Lyapunov exponents
CN106851436A (en) * 2017-03-31 2017-06-13 青岛科技大学 Video point shape Fragile Watermark Algorithm in DCT domain

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110142302A1 (en) * 2009-12-10 2011-06-16 Complex System, Inc. Chaotic Watermarking for a Digital Image
CN102123026A (en) * 2011-04-12 2011-07-13 南开大学 Chaos and hyperchaos based two-level video streaming media encryption method
CN102722856A (en) * 2012-06-06 2012-10-10 北京联合大学 Digital image encryption method of DCT domain based on three dimensional Lorenz chaotic mapping
CN104683811A (en) * 2013-11-29 2015-06-03 中国科学院声学研究所 Information hiding and extracting method based on integer DCT (Discrete Cosine Transformation) coefficient modulation
CN105979268A (en) * 2016-05-05 2016-09-28 北京智捷伟讯科技有限公司 Safe information transmission method based on lossless watermark embedding and safe video hiding
CN105871537A (en) * 2016-06-16 2016-08-17 广东工业大学 Video communication method and device based on chaotic encryption
CN106028175A (en) * 2016-06-21 2016-10-12 中国农业大学 Method and device for realizing zero watermark of video
CN106408621A (en) * 2016-09-20 2017-02-15 山东科技大学 Image compression encryption and decryption method based on Lyapunov exponents
CN106303756A (en) * 2016-10-10 2017-01-04 中国农业大学 A kind of method and device for video copyright protecting
CN106851436A (en) * 2017-03-31 2017-06-13 青岛科技大学 Video point shape Fragile Watermark Algorithm in DCT domain

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108111255A (en) * 2017-11-24 2018-06-01 同济大学 Interpretation method based on maximum a posteriori probability in a kind of analog encoding
CN108494522A (en) * 2018-01-25 2018-09-04 同济大学 A kind of building method of numerical model analysis Constructing Chaotic Code
CN108494522B (en) * 2018-01-25 2020-12-08 同济大学 Construction method of digital-analog mixed chaotic code

Also Published As

Publication number Publication date
CN107222749B (en) 2019-10-18

Similar Documents

Publication Publication Date Title
US20230412193A1 (en) Data processing device and data processing method
US10425112B2 (en) Data processing device and data processing method using low density parity check encoding for decreasing signal-to-noise power ratio
US11601142B2 (en) Data processing device and data processing method
CN108964669B (en) LDPC code quadratic programming decoding method based on degree decomposition and alternative multiplier method
TWI325259B (en) An interleaving scheme for an ldpc coded 16apsk system
Martinian Dynamic information and constraints in source and channel coding
CN104994388B (en) Improved unequal error protection fountain code constructing method
CN107222749B (en) A kind of chaos code constructing method for wireless video transmission
US10110896B2 (en) Adaptive motion JPEG encoding method and system
Liu et al. The capacity region of a class of discrete degraded interference channels
CN101080008B (en) A multi-description coding and decoding method based on alternate function system
CN107343202A (en) Feedback-less distributed video decoding method and mobile terminal based on additional code check
CN108111255A (en) Interpretation method based on maximum a posteriori probability in a kind of analog encoding
Jafarkhani et al. Design of channel-optimized vector quantizers in the presence of channel mismatch
CN101287129A (en) Code rate distributing method of channel code in source and channel combined coding
Kudeshia et al. Optimal Viterbi based total variation sequence detection (TVSD) for robust image/video decoding in wireless sensor networks
CN105430421A (en) Method for reducing image transmission distortion rate on the basis of polarization code attribute
CN103026636A (en) Orthogonal multiple description coding
CN103391162B (en) The unequal error protection method of multi-medium data based on Raptor code
CN102655588A (en) Joint source-channel decoding method for video/image transmission
CN100446464C (en) Method for correcting video stream gamma characteristic
Murroni A power-based unequal error protection system for digital cinema broadcasting over wireless channels
CN101789795B (en) Encoding method based on multi-rate protograph low density parity check code and encoder
CN108900463A (en) Code modulation system based on APSK constellation mapping
Lin et al. Analog channel coding for wireless image/video SoftCast by data division

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant