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Facial Image Compression Based on Structured Codebooks in Overcomplete Domain

Published in EURASIP Journal on Applied Signal Processing. 2006, vol. 2006, no. 69042, p. 1-11
Abstract We advocate facial image compression technique in the scope of distributed source coding framework. The novelty of the proposed approach is twofold: image compression is considered from the position of source coding with side information and, contrarily to the existing scenarios where the side information is given explicitly; the side information is created based on a deterministic approximation of the local image features. We consider an image in the overcomplete transform domain as a realization of a random source with a structured codebook of symbols where each symbol represents a particular edge shape. Due to the partial availability of the side information at both encoder and decoder, we treat our problem as a modification of the Berger-Flynn-Gray problem and investigate a possible gain over the solutions when side information is either unavailable or available at the decoder. Finally, the paper presents a practical image compression algorithm for facial images based on our concept that demonstrates the superior performance in the very-low-bit-rate regime. [12345678910111213141516171819202122232425262728293031
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Research groups Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
Stochastic Information Processing Group
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VILA FORCEN, Jose Emilio et al. Facial Image Compression Based on Structured Codebooks in Overcomplete Domain. In: EURASIP Journal on Applied Signal Processing, 2006, vol. 2006, n° 69042, p. 1-11. https://archive-ouverte.unige.ch/unige:47509

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Deposited on : 2015-03-03

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