Vector quantization with minimax L/sub /spl infin// distortion for image coding

A technique for vector quantization which minimizes a maximal L/sub /spl infin// distortion is introduced in this paper. A centroid rule is obtained and a codebook design method is developed. The problem of minimizing the number of occurrences of quantization errors larger than a preselected threshold is further investigated. Compared to the methods that minimize an averaged L/sub /spl infin// distortion recently proposed by Mathews et al., the new approaches that minimize the maximal L/sub /spl infin// distortion achieve more desirable results.

[1]  Allen Gersho,et al.  Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.

[2]  V. John Mathews,et al.  Distortion-limited vector quantization , 1996, Proceedings of Data Compression Conference - DCC '96.

[3]  V.J. Mathews,et al.  Vector quantization using the L/sub /spl infin// distortion measure , 1997, IEEE Signal Processing Letters.

[4]  V. John Mathews Multiplication free vector quantization using L1 distortion measure and its variants , 1992, IEEE Trans. Image Process..