Comparison and optimization of methods of color image quantization

被引：63

作者：

Braquelaire, JP

Brun, L

机构：

[1] LaBRI, Unité Associée au CNRS No. 1304, Université Bordeaux

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 1997年 / 6卷 / 07期

关键词：

D O I：

10.1109/83.597280

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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, In this correspondence, the different steps of clustering methods are studied. The methods are compared step bq step and some optimizations of the algorithms and data structures are given, A new color space called H1H2H3 is introduced, which improves quantization heuristics. A low-cost quantization scheme is proposed.

引用

页码：1048 / 1052

页数：5

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