A FAST DECODER FOR COMPRESSED SENSING BASED MULTIPLE DESCRIPTION IMAGE CODING

被引：2

作者：

Hyder, Md Mashud ^{[1
]}

Mahata, Kaushik ^{[1
]}

机构：

[1] Univ Newcastle, Sch Elect Engn & Comp Sci, Callaghan, NSW 2308, Australia

来源：

2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 | 2009年

关键词：

Multiple description coding; compressed sensing; minimization; image coding;

D O I：

10.1109/ICIP.2009.5414268

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Multiple description coding (MDC) offers an elegant approach to data transmission over lossy packet-based networks. This paper proposes an MDC decoder for Compressed Sensing (CS) based MDC. Our decoder minimizes l(0) norm of the total variation of the image in a recursive manner, making it effective when different descriptions experience different time delays in the network. The proposed approach brings in a significant performance improvement in reconstruction accuracy and reconstruction time.

引用

页码：2125 / 2128

页数：4

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