Distributed Compressive Video Sensing based on Smoothed l0 norm with partially known support

被引：0

作者：

Ma, Cong ^{[1
]}

Liu, Yu ^{[1
]}

Zhang, Lin ^{[1
]}

Zhu, Xuqi ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Beijing, Peoples R China

来源：

2011 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME) | 2011年

关键词：

distributed compressive video sensing; smoothed l(0) norm; side information; partially known support; DECOMPOSITION;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Distributed compressive video sensing (DCVS), aiming at capturing and compressing video data simultaneously, is an emerging field which exploits both intra-and inter-frame correlation. In this paper, we present a new algorithm based on smoothed l(0) norm (SL0) which tries to directly minimize the l(0) norm to decode a Wyner-Ziv frame when parts of its correlated key frame's support is known as side information (SI) in a typical DCVS scenario. With the assistance of the modified initialization, our proposed algorithm can reconstruct the Wyner-Ziv frame of the same accuracy with much lower measurement rate compared to the case when the partially known support is not used as SI. It is experimentally shown that our proposed scheme outperforms GPSR at the expense of a tolerable decoding complexity. When compared with modified-cs, a large saving in decoding CPU time is achieved in sacrifice of some PSNR performance.

引用

页数：6