DocumentCode :
1461635
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
Volume :
6
Issue :
2
fYear :
1999
Firstpage :
25
Lastpage :
27
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;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/97.739002
Filename :
739002
Link To Document :
بازگشت