Iterative Decoding of Multiple Descriptions
DCC '99 Proceedings of the Conference on Data Compression
DCC '02 Proceedings of the Data Compression Conference
Rate-Based versus Distortion-Based Optimal Joint Source-Channel Coding
DCC '02 Proceedings of the Data Compression Conference
Compression with Side Information Using Turbo Codes
DCC '02 Proceedings of the Data Compression Conference
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
Joint source-channel turbo decoding of entropy-coded sources
IEEE Journal on Selected Areas in Communications
Multiple description coding using pairwise correlating transforms
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
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We consider transporting images over wireless fading channels rather than the on-off channels considered in most works related to multiple description (MD) coding. The idea is to treat MD coding as a special case of distributed source coding with co-located sources, and use iterative (turbo) decoding techniques developed for serially concatenated coding systems to improve the performance of the receiver with successive source decoding iterations. MDs of an input image are generated by embedded coding plus unequal error protection. The proposed receiver consists of a maximum a posterior (MAP) differential space-time decoder, an MD source decoder, an interleaver and a deinterleaver. The two decoders exchange extrinsic values or a priori probabilities of transmitted bits between themselves in successive iterations. Experimental results show that our iterative scheme can effectively improve the system performance. Furthermore, most of the gain in PSNR is achieved with only two iterations.