Abstract
A new scheme for vector quantization (VQ) is proposed in this paper. We employ side-match and classified criteria for designing VQ codebooks to combat blocking effects induced from high compression rates, and then we use the proposed algorithm to improve the reconstructed image quality. Simulation results demonstrate the better image quality to compare with that produced from conventional schemes objectively and subjectively, at the cost of reasonable encoding complexity. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Huang, H. C., Yen, K. K., Huang, Y. H., Pan, J. S., & Huang, K. C. (2005). Improved image coding with classified VQ and side-match VQ. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 411–417). Springer Verlag. https://doi.org/10.1007/11553939_59
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
