基于压缩感知理论的视频编解码方法

计算机科学 ›› 2013, Vol. 40 ›› Issue (Z6): 169-172.

基于压缩感知理论的视频编解码方法

杨鑫诚,何斌

同济大学电子与信息工程学院上海201804;同济大学电子与信息工程学院上海201804

出版日期:2018-11-16 发布日期:2018-11-16

Video Codec Based on Compressed Sensing

YANG Xin-cheng and HE Bin

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 压缩感知理论是一种全新的信息处理方式,是近来国际上热门的研究方向,在信号处理等其他领域中具有很好的应用前景。结合压缩感知理论和传统的视频编解码技术,设计提出了一种基于压缩感知理论的视频编解码方案。用测试视频进行了仿真实验,结果表明该算法能够取得较好的效果。

关键词: 压缩感知,视频编解码,稀疏性

Abstract: Compressed sensing theory is a new information processing,recent popular research direction,and has a good prospect of application in signal processing and other fields．In this paper compressed sensing theory and traditional video codec technology,design a theory based on compressed sensing video codec program．The results show that the algorithm is able to achieve better results.

Key words: Compressed sensing,Video codec,Sparsity

杨鑫诚,何斌. 基于压缩感知理论的视频编解码方法[J]. 计算机科学, 2013, 40(Z6): 169-172. https://doi.org/

YANG Xin-cheng and HE Bin. Video Codec Based on Compressed Sensing[J]. Computer Science, 2013, 40(Z6): 169-172. https://doi.org/

参考文献

[1] Donoho D．Compressed sensing[J].IEEE Trans．InformationTheory,2006,52(4):1289-1306
[2] Candes E,Romberg J,Tao T．Robust uncertainty principles:Exact signal reconstruction from highly incomplete frequency information[J]．IEEE Trans．Information Theory,2006,52(4):489-509
[3] Tropp J,Gilbert A C．Signal recovery from random measurements via- orthogonal matching pursuit [J]．IEEE Trans．Information Theory,2007,53(12):4655-4666
[4] Cotter S F,Rao B D．Sparse channel estimation via matching pursuit with application to equalization[J]．IEEE Trans．Comm,2002,50:374-377
[5] Shen Y,Li S．Restricted p-isometry property and its application for nonconvex compressive sensing,Adv Comput Math．DOI 10.1007/s10444-011-9219-y
[6] Chartrand R,Staneva V.estricted isometry porperties and nonconvex compressive sensing[J]．Inverse Problems,2009,24:1-14
[7] ITU-T Rec．H.264and ISO/IEC 14496-10AVC,Draft ITU-T Recommendation and Final Draft International Standard of Joint Video Specification[S]．Joint Video Team(JVT) of IS0/IEC MPEG& ITU-T VCEG 7th Meeting,Pattaya,Thailand,March,2003:7-14
[8] Lim K-P,Sullivan G,Wiegand T．Text Description of Joint ModelReference Encoding Methods and Decoding Concealment Methods[C]∥Joint Video Team(JVT) of ISO/IEC MPEG and ITU-T VCEG．Busan,Korea,April,2005
[9] Chen Zhi-bo,Zhou Peng,He Yun,et al．Fast Motion Estimation for JVT[C]∥Joint Video Team(JVT) of ISO/IEC MPEG & ITU-T VCEG(ISO/IEC JTC1/SC29/WG11and ITU-T SG16Q.6) 7th Meeting,Pattaya II．Thailand,March,2003:7-14
[10] Trnatd G L D．Fast compressive imaging using scrambled block Hadamard ensemble [C]∥Proceedings of the European Signal Processing Conf．Lausanne Switzerland,2008
[11] Figueiredom A T,Nowakrd R D,Wright SJ．Gradient projection for sparse reconstruction:application to compressed sensing and other inverse problems [J]．IEEE Journal of Selected Topics in Signal Processing 2007,1(4):586-597
[12] Xie X,Yu L．A new video codec based on compressed sensing[Z]．2011

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed