An adaptive fast transform based image compression

被引：0
|
作者：
Stokfiszewski, Kamil [1 ]
Szczepaniak, Piotr S. [1 ]
机构：
[1] Tech Univ Lodz, Inst Comp Sci, PL-93005 Lodz, Poland
来源：
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING - ICAISC 2008, PROCEEDINGS | 2008年 / 5097卷
关键词：
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：
The paper deals with image compression performed using an adaptive fast transform-based method. The point of departure is a base scheme for fast computation of certain discrete transforms. The scheme can be interpreted in terms of the neural architecture whose parameters (neurons' weights) can be adjusted during learning on set data, here images. The same basic network topology enables realization of diverse transformations. The results obtained for the task of image compression are presented and evaluated.
引用
收藏
页码：874 / 885
页数：12
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