A New Method Based on Wavelet Transform for Image Denoising
一种基于小波变换的图像去噪新方法

A method for image denoising is proposed.After performing multi-resolution wavelet decomposition on corrupted image,the wavelet coefficients of noise are Gaussian distribution,and have different variances in different levels.Based on this,wiener filter is applied to the wavelet coefficients on different subbands and orientations,and leave wavelet coefficients in the low frequency domain without change,to estimate the wavelet coefficients of the clean image.Then the inverse wavelet transform is applied to the modified wavelet coefficients,resulting in the denoised image.At the end,experimental results show the validity of the proposed method.