Image Denoising Based on Adaptive Fuzzy Thresholding Approach
Xin Wang · Jisuanji fangzhen · 2011
The wavelet threshold denoising is one of the major methods of denoising in the wavelet domain.It selects appropriate threshold and uses the threshold function to process wavelet coeffecient in terms of the mean square deviation.On the basis of wavelet threshold de-nosing method proposed by Dohono,this paper proposes a denoising approach that combines adaptive fuzzy threshold function with median filter.This method can effectively remove gaussian white noises and impulse noises.The simulation experimental results demonstrate that the proposed approach is more effective both in reserving edges and in removing noise.