A fast decoder for compressed sensing based multiple description image coding

Authors:
Md Mashud Hyder;Kaushik Mahata
Affiliations:
School of Electrical Engineering and Computer Science, University of Newcastle, Callaghan, NSW, Australia;School of Electrical Engineering and Computer Science, University of Newcastle, Callaghan, NSW, Australia
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

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 l0 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.