IMAGE COMPRESSION BASED ON THE NEURAL NETWORK ART

被引：1
|
作者：
Rudenko, O. G. [1 ]
Snytkin, M. S. [1 ]
机构：
[1] Kharkov Natl Univ Radio Elect, Kharkov, Ukraine
来源：
CYBERNETICS AND SYSTEMS ANALYSIS | 2008年 / 44卷 / 06期
关键词：
ART neural network; compression algorithm; vector quantization; discrete cosine transform; training;
D O I：
10.1007/s10559-008-9054-4
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
JPEG-similar algorithms are proposed for compressing video information. These algorithms are based on the ART neural network that realizes the vector quantization operation. The results of modelling the proposed algorithms in the Matlab environment testify to the possibility of using them for image compression. These algorithms are shown to be good enough for images with recurrent segments.
引用
收藏
页码：797 / 802
页数：6
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