Title :
Vector quantization with minimax L∞ distortion for image coding
Author :
Zhu, Ce ; Hua, Yingbo
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
fDate :
6/21/1905 12:00:00 AM
Abstract :
A technique for vector quantization which minimizes a maximal L ∞ 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∞ distortion recently proposed by Mathews et al., the new approaches that minimize the maximal L∞ distortion achieve more desirable results
Keywords :
data compression; image coding; vector quantisation; centroid rule; codebook design method; image coding; minimax L∞ distortion; preselected threshold; quantization errors; vector quantization; Algorithm design and analysis; Current measurement; Equations; Iterative algorithms; Iterative methods; Minimax techniques; Partitioning algorithms; Pixel; Signal processing algorithms; Vector quantization;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.821672