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Journal of Information Science and Engineering, Vol. 23 No. 3, pp. 937-947 (May 2007)

Competitively Boundary Error Sorting Scheme for Improving Side Match Vector Quantizers*

Hsuan T. Chang and Yann H. Pan
Photonics and Information Laboratory
Department of Electrical Engineering
National Yunlin University of Science and Technology
Yunlin, 640 Taiwan

In conventional side match vector quantizers (SMVQs) for images, the associative side match errors at both the horizontal and vertical boundaries are sorted and then used to construct the state codebooks. In this study, a competitively boundary error sorting (CBES) scheme, in which the separate side match errors at two boundaries are competitively sorted, is proposed to design a better next-state function for SMVQs. The simulation results show that the coding performance and, especially, the visual quality can be improved for the images with strong edges.

Keywords: image compression, finite-state vector quantization, side match vector quantizers, next-state function, error sorting

Full Text () Retrieve PDF document (200705_18.pdf)

Received May 30, 2005; revised August 25, 2005; accepted October 19, 2005.
Communicated by Ja-Ling Wu.
* This research was partially supported by the National Science Council of Taiwan, R.OC., under contracts No. NSC 90-2213-E-224-029 and NSC 92-2213-E-224-047. .