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Facial Image Compression Based on Structured Codebooks in Overcomplete Domain

EURASIP Journal on Advances in Signal Processing volume 2006, Article number: 069042 (2006) Cite this article

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.

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Authors and Affiliations

  1. Stochastic Image Processing Group, CUI, University of Geneva, 24 rue du Général-Dufour, Geneva, 1211, Switzerland

    J. E. Vila-Forcén, S. Voloshynovskiy, O. Koval & T. Pun

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  1. J. E. Vila-Forcén
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  2. S. Voloshynovskiy
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  3. O. Koval
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  4. T. Pun
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Correspondence to J. E. Vila-Forcén.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Vila-Forcén, J.E., Voloshynovskiy, S., Koval, O. et al. Facial Image Compression Based on Structured Codebooks in Overcomplete Domain. EURASIP J. Adv. Signal Process. 2006, 069042 (2006). https://doi.org/10.1155/ASP/2006/69042

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