Image Denoising Based on Wavelet Analysis

A method of image denoising technology based on the Gaussian filter and wavelet transformation is proposed.The wavelet threshold denoising is one of the major methods of denoising in the wavelet domain.Firstly,noised image was processed by Gaussian filter and was decomposed by wavelet transformation.Secondly,an appropriate threshold value and decomposed layer were selected.Finally,the image was reconstructed to the first layer and the reconstructed image was reconstructed to the second layer.Simulation results showed that the method not only could remove noise effectively,but also could get higher PSNR value and better visual effect compared with other methods.