Image vector quantization with minimax L∞ distortion

A new framework of vector quantization that minimizes maximal L/sub /spl infin// distortion is introduced. Based on the concept of minimax L/sub /spl infin// distortion, a new centroid rule and a new codebook design method are developed. The problem of minimizing the number of occurrences of quantization errors larger than a preselected threshold is also investigated. Compared to the methods that minimize an averaged L/sub /spl infin// distortion recently proposed by Mathews et al. (1997), the new methods with minimax 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.J. Mathews,et al.  Vector quantization using the L/sub /spl infin// distortion measure , 1997, IEEE Signal Processing Letters.

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

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