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The Image Noise Removal Based on Fuzzy Technique

YANG Qun sheng 1,2 ,CHEN Ming 2,YU Ying lin 2(1 Dept.of Computer Science,South China Normal Univ.,Guangzhou 510631,China; 2 Dept.of Electronic and Comm.Engineering,South China Univ.of Tech.,Guangzhou 510641,China)  
A new filter—Fuzzy Detection Weighted Mean filter is presented in this paper.Based on the histogram of corrupted image and its statistic characteristic,we construct the fuzzy membership functions and present the design methodology of FDWM combining new detection algorithm.For salt pepper impulse noise image,when the noise probability exceeds 30%,FDWM gives superior performance compared with conventional filters,especially when noise probability is more than 50%,the advantage of FDWM is more prominent than other filters.This is showed by the subjective vision and peak signal to noise rate (PSNR) or mean square error (MSE).
【Fund】: 国家自然科学基金!(No.69772 0 2 6);; 广东省自然科学基金!(No .970 4 84)
【CateGory Index】: TN911
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Chinese Journal Full-text Database 8 Hits
1 YANG Qun sheng 1,2 ,HUANG Ji wu 1,KANG Xian gui 1,ZHOU Wang 3 (1 Dept.of Electronic and Communication Engineering,Sun Yat Sen Univ,Guangzhou,Guangdong 510275,China;2 Dept.ofComputer Science,South China Normal Univ,Guangzhou,Guangdong 510631,China;3 Lab for Computational Vision,New York Univ,New York 10003,USA);Histogram Weighted Mean Filter for Image Processing[J];Acta Electronica Sinica;2004-07
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