An image compression using self-organization with genetic algorithm

被引：0

作者：

Ryu, H ^{[1
]}

Miyanaga, Y ^{[1
]}

Tochinai, K ^{[1
]}

机构：

[1] Hokkaido Univ, Dept Elect & Informat Engn, Kita Ku, Sapporo, Hokkaido 060, Japan

来源：

ISCAS '99: PROCEEDINGS OF THE 1999 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL 4: IMAGE AND VIDEO PROCESSING, MULTIMEDIA, AND COMMUNICATIONS | 1999年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this report, as the method of image compression, we have developed a new method of self-organized image compression. In the method, many nodes are yielded and self-organized according to a gray scale level of image data. Additionally, we have used a genetic algorithm to remove some useless nodes among created clusters so that a high performance optimum structure is realized by as small number nodes as possible. In addition, we use orthogonal wavelet analysis to the proposed method. In the wavelet domain, we excute self-organization clustering and also checked out the performance of the method.

引用

页码：5 / 8

页数：4