Smoothing denoising method of spatial filtering image based on Contourlet transform

Abstract

This paper studies the threshold denoising problem of image in Contourlet transform domain, and proposes a smoothing denoising method of spatial filtering image based on Contourlet transform. This method combined with Contourlet transform can highlight the advantages of image edge information and direction information. The image is decomposed by using the Contourlet transform algorithm, and then the spatial filtered image is obtained. Based on the threshold estimation of the Contourlet coefficient of the Treelet difference variable and the soft threshold denoising of the high-frequency coefficient, the spatial filtered image denoising is realized. Then, aiming at the unsmooth denoising problem of the spatial filtered image, the spatial filtered image filtering smoothing processing method based on generalized Laplace distribution is used to solve the unsmooth denoising problem of the spatial filtered image. The experimental results show that this method has strong smoothing denoising ability and obvious application effect.