UNIGE document Scientific Article
previous document  unige:47509  next document
add to browser collection
Title

Facial Image Compression Based on Structured Codebooks in Overcomplete Domain

Authors
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
Identifiers
Full text
Structures
Research groups Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
Stochastic Information Processing Group
Citation
(ISO format)
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

154 hits

73 downloads

Update

Deposited on : 2015-03-03

Export document
Format :
Citation style :