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A FUZZY OPERATOR FOR THE ENHANCEMENT OF BLURRED AND NOISY IMAGES

被引：68
作者：
RUSSO, F
RAMPONI, G
机构：
[1] DEEI, University of Trieste, Trieste
来源：
IEEE TRANSACTIONS ON IMAGE PROCESSING | 1995年 / 4卷 / 08期
关键词：
D O I：
10.1109/83.403425
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Rule-based fuzzy operators are a novel class of operators specifically designed in order to apply the principles of approximate reasoning to digital image processing. This paper shows how a fuzzy operator that is able to perform detail sharpening but is insensitive to noise can be designed. The results obtainable by the proposed technique in the enhancement of a real image are presented.
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页码：1169 / 1174
页数：6
相关论文
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