Color image compression using self organizing feature map

被引：0
|
作者：
Diri, B [1 ]
Albayrak, S [1 ]
机构：
[1] Yildiz Tech Univ, Dept Comp Engn, TR-34349 Istanbul, Turkey
来源：
PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND APPLICATIONS | 2006年
关键词：
image compression; color quantization; I-D self-organizing feature map; entropy coding;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a compression scheme for color images, by using Self-Organizing Feature Map (SOFM) algorithm, which is a neural network structure. In this application 1-dimensional SOFM is used to map 256-color to 64-, 32- and 16-color. After the quantization process, relative coding and entropy coding are performed without any loss in the information. Obtained results encourage the use of SOFM for image compression.
引用
收藏
页码：162 / +
页数：3
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