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

页码：2144 / 2145

页数：2