Mixed Wavelet and Median Filter for Image Denoising

Image usually is corrupted by two or more different types noise simultaneously, the paper proposed a new mixture filter method. The proposed method first classifies the pixels into two classes, one is the pixels which are corrupted by impulse noise and the other is the pixels corrupted by Gauss noise. Then median filter is used for the pixels corrupted by impulse noise and wavelet threshold method filter is used for the pixels corrupted by Gauss noise. In order to eliminate pseudo-Gibbs phenomenon as a result of wavelet threshold method filter, wavelet transform based on translation invariant is presented in the image denoising. The simulation result verifies that the proposed method is feasible and efficient.