Denoising method with wavelet shrinkage adaptive thresholding and wiener filter

In accordance with the problem of Gaussian noise and the traditional image of the structural features in the image denoising,a denoise method is proposed based on wavelet shrinkage adaptive thresholding and wiener filter.Firstly,the image denoise is carried out by using wavelet shrinkage adaptive thresholding,then the smoothing processing is carried out for the processed image with the Wiener filtering method.The sub-band threshold of independent adaptive threshold is determined with the adjustment coefficient.Experiments show the proposed method is more efficient on the Gaussian-noise denoising and retaining image details than that of standard median filter and mean filter algorithm.