Using an adaptive neuro-fuzzy inference system-based interpolant for impulsive noise suppression from highly distorted images

被引：19

作者：

Besdok, E ^{[1
]}

Çivicioglu, P

Alçi, M

机构：

[1] Erciyes Univ, Fac Engn, Geodesy & Photogrammetry Eng Dept, TR-38039 Kayseri, Turkey

[2] Erciyes Univ, Civil Aviat Sch, Dept Avion, TR-38039 Kayseri, Turkey

[3] Erciyes Univ, Fac Engn, Elect Eng Dept, TR-38039 Kayseri, Turkey

来源：

FUZZY SETS AND SYSTEMS | 2005年 / 150卷 / 03期

关键词：

impulsive noise; Chi-square goodness-of-fit test; DSF interpolant; ANFIS;

D O I：

10.1016/j.fss.2004.06.018

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A new impulsive noise (IN) suppression filter, entitled Adaptive neuro-fuzzy inference system (ANFIS)-based impulsive noise suppression Filter, which shows a high performance at the restoration of images distorted by IN, is proposed in this paper. The extensive simulation results show that the proposed filter achieves a superior performance to the other filters mentioned in this paper in the cases of being effective in noise suppression and detail preservation, especially when the noise density is very high. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：525 / 543

页数：19

共 33 条

[1] A new efficient approach for the removal of impulse noise from highly corrupted images [J].

Abreu, E ;

Lightstone, M ;

Mitra, SK ;

Arakawa, K .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 1996, 5 (06) :1012-1025

[2]

[Anonymous], 1986, FINITE ELEM STRUCT A

[3] Digital median filters [J].

Breveglieri, L ;

Piuri, V .

JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2002, 31 (03) :191-206

[4] Adaptive impulse detection using center-weighted median filters [J].

Chen, T ;

Wu, HR .

IEEE SIGNAL PROCESSING LETTERS, 2001, 8 (01) :1-3

[5]

Chen T, 2000, IEEE IMAGE PROC, P916, DOI 10.1109/ICIP.2000.901109

[6]

CHRISTOPHER LB, 2001, DIGIT SIGNAL PROCESS, V11, P120

[7]

Jang J.S., 1996, Neuro-fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence

[8] ANFIS - ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEM [J].

JANG, JSR .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1993, 23 (03) :665-685

[9]

JANG JSR, 1995, FUZZY LOGIC TOOLBOX

[10]

KO SJ, 1996, IEEE T CIRCUITS-II, V43, P157

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