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《Journal of Northeastern University(Natural Science)》 2007-06
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An Adaptive Image De-noising Algorithm Based on Fuzzy Logic

SHI Zhen-gang,GAO Li-qun,GE Wen(School of Information Science & Engineering,Northeastern University,Shenyang 110004,China.)  
A new adaptive image de-noising algorithm based on fuzzy logic is proposed by analyzing the deficiencies of median filter when it is used to eliminate impulsive noise.The new algorithm for detection of noise points is based on grayscale distribution of neighboring pixels in different directions,and it uses the improved algorithm of maximum-minimum exclusive median method to estimate the gray level of current noisy pixels.Introducing the fuzzy logic rules into the new algorithm,the gray level of noisy pixels will be restored more reasonably.Simulation results show that the new algorithm may bring about better effect in eliminating impulsive noise in comparison with the improved median filter methods.
【Fund】: 辽宁省自然科学基金资助项目(20042034)
【CateGory Index】: TP391.41
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