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