IMAGE-PROCESSING VIA ENTROPIES OF DETERMINISTIC FUNCTIONS

被引：2

作者：

JUMARIE, G

机构：

[1] Department of Mathematics and Computer Science, Université du Québec á Montréal, Montréal, Que. H3C 3P8, St A

来源：

PATTERN RECOGNITION LETTERS | 1991年 / 12卷 / 09期

关键词：

PICTURE PATTERNS; BRIGHTNESS; PATTERN ENTROPY; IMAGE PROCESSING;

D O I：

10.1016/0167-8655(91)90102-R

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 show how the entropies of deterministic functions can apply to information processing. The maximum entropy principle turns out to be the minimum pattern entropy principle. By using the pattern entropy of the brightness function, one can analyze picture patterns and consider the problem of image transformation on the information theoretic standpoint.

引用

页码：525 / 529

页数：5