Multihypothesis Compressed Video Sensing Technique

被引：37

作者：

Azghani, Masoumeh ^{[1
]}

Karimi, Mostafa ^{[1
]}

Marvasti, Farokh ^{[1
]}

机构：

[1] Sharif Univ Technol, Adv Commun Res Inst, Dept Elect Engn, Tehran 1136511155, Iran

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY | 2016年 / 26卷 / 04期

关键词：

Compressed sensing (CS); compressed video sensing (CVS); multihypothesis (MH) motion compensation; video compression; RECONSTRUCTION;

D O I：

10.1109/TCSVT.2015.2418586

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we present a compressive sampling and multihypothesis (MH) reconstruction strategy for video sequences that has a rather simple encoder, while the decoding system is not that complex. We introduce a convex cost function that incorporates the MH technique with the sparsity constraint and the Tikhonov regularization. Consequently, we derive a new iterative algorithm based on these criteria. This algorithm surpasses its counterparts (Elasticnet and Tikhonov) in recovery performance. Besides, it is computationally much faster than Elasticnet and comparable with Tikhonov. Our extensive simulation results confirm these claims.

引用

页码：627 / 635

页数：9

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