A type-2 fuzzy logic operator for impulse noise removal from digital images

被引：0
|
作者：
Yildirim, M. Tuelin [1 ]
Bastuerk, Alper [2 ]
Yueksel, M. Emin [3 ]
机构：
[1] Erciyes Univ, Sivil Havacil Yuksekokulu, Kayseri, Turkey
[2] Erciyes Univ, Bilgisayar Muhendisligi, Kayseri, Turkey
[3] Erciyes Univ, Elekt Elekt Muhendisligi, Kayseri, Turkey
来源：
2007 IEEE 15TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1-3 | 2007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：
In this paper, a new detail-preserving neuro-fuzzy (NF) filtering operator based on type-2 fuzzy logic tecniques for restoring digital images corrupted by impulse noise is presented. The operator is constructed by combining desired number of type-2 NF filters, defuzzifiers and a postprocessor. All NF filters in the structure of the operator are Sugeno type first order type-2 interval fuzzy inference systems. Internal structures of the NF filters are identical to each other. Simulation results indicate that the proposed operator offers superior performance in removing impulse noise from images while effectively preserving image details and texture.
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页码：479 / +
页数：3
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