EURASIP Journal on Advances in Signal Processing (Jan 2006)

Facial Image Compression Based on Structured Codebooks in Overcomplete Domain

  • Vila-Forcén JE,
  • Voloshynovskiy S,
  • Koval O,
  • Pun T

Journal volume & issue
Vol. 2006, no. 1
p. 069042


Read online

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.