Title :
Image vector quantization with minimax L/sub /spl infin// distortion
Author :
Zhu, Ce ; Hua, Yingbo
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
Abstract :
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.
Keywords :
image coding; minimax techniques; vector quantisation; centroid rule; codebook design method; image compression; minimax L/sub /spl infin// distortion; quantization errors; vector quantization; Australia; Design methodology; Distortion measurement; H infinity control; Information processing; Minimax techniques; Pixel; Signal processing; Vector quantization; Video coding;
Journal_Title :
Signal Processing Letters, IEEE