DocumentCode :
1289571
Title :
Comparison and optimization of methods of color image quantization
Author :
Braquelaire, Jean-Pierre ; Brun, Luc
Author_Institution :
LaBRI, Bordeaux I Univ., Talence, France
Volume :
6
Issue :
7
fYear :
1997
fDate :
7/1/1997 12:00:00 AM
Firstpage :
1048
Lastpage :
1052
Abstract :
Color image quantization, the process of reducing the number of colors in a digital color image, has been widely studied for the last fifteen years. The different steps of clustering methods are studied. The methods are compared step by step and some optimizations of the algorithms and data structures are given. A new color space called H1H2H3 is introduced, which improves the quantization heuristics. A low-cost quantization scheme is proposed
Keywords :
data structures; image coding; image colour analysis; optimisation; quantisation (signal); H1H2H3; algorithms; clustering methods; color image quantization; color space; data structures; digital color image; experimental results; low cost quantization; optimization; quantization heuristics; Clustering algorithms; Clustering methods; Color; Data structures; Displays; Image coding; Monitoring; Optimization methods; Pixel; Quantization;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.597280
Filename :
597280
Link To Document :
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