FFF: Fast fuzzy filtering in image restoration

被引：0

作者：

Suthaharan, S ^{[1
]}

Zhang, ZW ^{[1
]}

Harvey, A ^{[1
]}

机构：

[1] Monash Univ, Sch Comp & IT, Churchill 3842, Australia

来源：

IEEE TENCON'97 - IEEE REGIONAL 10 ANNUAL CONFERENCE, PROCEEDINGS, VOLS 1 AND 2: SPEECH AND IMAGE TECHNOLOGIES FOR COMPUTING AND TELECOMMUNICATIONS | 1997年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Fast Fuzzy Filtering (FFF), based on fuzzy logic, Is a new technique for detail-preserving smoothing of noisy image data. This paper shows how a hierarchical fuzzy approach can be used to perform detail sharpening of an image corrupted by noise. Results of computer simulation show that the proposed fuzzy approach performs better for further reduction of noise presented in an image.

引用

页码：9 / 12

页数：4

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