Improved joint source-channel decoding of JPEG2000 images and Reed-Solomon codes

Authors:
Sohail Bahmani;Ivan V. Bajic;Atousa HajShirmohammadi
Affiliations:
School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada;School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada;School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

Citing 5
Cited 0

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Abstract

In this paper we present improvements to the recently-proposed joint decoding of JPEG2000 bitstreams and Reed-Solomon codes in the context of unequal loss protection. Using error resilience features of JPEG2000 bitstreams, the joint decoder helps to restore the erased symbols when the Reed-Solomon decoder fails to retrieve them on its own. We make use of the ability of the JPEG2000 decoder to provide rough error localization within a coding pass to speed up the search for erased symbol values. In addition, we show how transmitting a relatively small amount of side information with high reliability may help the joint decoder by reducing the size of the search space and bypassing some of the JPEG2000 decoding iterations needed to verify the correctness of the restored source information. The improved joint decoder is up to 20 times faster compared to the previous one.