BLOCK TRUNCATION CODING USING HOPFIELD NEURAL NETWORK

被引：8
|
作者：
MITCHELL, HB
DORFAN, M
机构：
[1] Signal Processing & Computing Department, Elta Electronics Industries Ltd., Ashdod
来源：
ELECTRONICS LETTERS | 1992年 / 28卷 / 23期
关键词：
BLOCK TRUNCATION CODING; IMAGE CODING; NEURAL NETWORKS;
D O I：
10.1049/el:19921376
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The authors extend the analysis of the block truncation coding (BTC) algorithm using a Hopfield neural network (HNN). They show that its performance is suboptimum (in the mean square error sense) and that alternative (non-neural network) BTC algorithms are available with virtually the same performance.
引用
收藏
页码：2144 / 2145
页数：2
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