MAXIMUM-ENTROPY ALGORITHM APPLIED TO IMAGE-ENHANCEMENT

被引：30

作者：

DANIELL, GJ ^{[1
]}

GULL, SF ^{[1
]}

机构：

[1] UNIV CAMBRIDGE,CAVENDISH LAB,MULLARD RADIO ASTRON OBSERV,CAMBRIDGE CB3 0HE,ENGLAND

来源：

IEE PROCEEDINGS-E COMPUTERS AND DIGITAL TECHNIQUES | 1980年 / 127卷 / 05期

关键词：

D O I：

10.1049/ip-e.1980.0039

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

A model is suggested for assigning the prior probability of an image in Bayes' theorem which leads to a general algorithm for image enhancement. Examples of sharpening blurred photographs show how the success of deconvolution depends on the snr in the degraded images.

引用

页码：170 / 172

页数：3