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

页码：2493 / 2498

页数：6

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