Effective palette indexing for image compression using self-organization of Kohonen feature map

被引：11
|
作者：
Pei, Soo-Chang [1 ]
Chuang, Yu-Ting
Chuang, Wei-Hong
机构：
[1] Natl Taiwan Univ, Dept Elect Engn, Taipei 10617, Taiwan
[2] Natl Taiwan Univ, Grad Inst Commun Engn, Taipei 10617, Taiwan
来源：
IEEE TRANSACTIONS ON IMAGE PROCESSING | 2006年 / 15卷 / 09期
关键词：
color palette; color quantization; index image; self-organizing Kohonen feature map (SOFM);
D O I：
10.1109/TIP.2006.877417
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The process of limited-color image compression usually involves color quantization followed by palette re-indexing. Palette re-indexing could improve the compression of color-indexed images, but it is still complicated and consumes extra time. Making use of the topology-preserving property of self-organizing Kohonen feature map, we can generate a fairly good color index table to achieve both high image quality and high compression, without re-indexing. Promising experiment results will be presented.
引用
收藏
页码：2493 / 2498
页数：6
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