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Distributed single source coding with side information

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Published in Proceedings of SPIE Photonics West, Electronic Imaging 2004, Image Processing. San Jose (USA) - Jan 18-22 - SPIE. 2004
Collection SPIE proceedings; 5308
Abstract In the paper we advocate image compression technique in the scope of distributed source coding framework. The novelty of the proposed approach is twofold: classical image compression is considered from the positions of source coding with side information and, contrarily to the existing scenarios, where side information is given explicitly, side information is created based on deterministic approximation of local image features. We consider an image in the transform domain as a realization of a source with a bounded codebook of symbols where each symbol represents a particular edge shape. The codebook is image independent and plays the role of auxiliary source. Due to the partial availability of side information at both encoder and decoder we treat our problem as a modification of Berger-Flynn-Gray problem and investigate a possible gain over the solutions when side information is either unavailable or available only at decoder. Finally, we present a practical compression algorithm for passport photo images based on our concept that demonstrates the superior performance in very low bit rate regime.
Keywords Data compressionImage compression
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Research groups Computer Vision and Multimedia Laboratory
Stochastic Information Processing Group
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VILA FORCEN, Jose Emilio, KOVAL, Oleksiy, VOLOSHYNOVSKYY, Svyatoslav. Distributed single source coding with side information. In: Proceedings of SPIE Photonics West, Electronic Imaging 2004, Image Processing. San Jose (USA). [s.l.] : SPIE, 2004. (SPIE proceedings; 5308) https://archive-ouverte.unige.ch/unige:47941

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Deposited on : 2015-03-06

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