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.[WTHZ]