Textural image filtering method by hybridizing wave atomsshrinkage with bilateral filtering
混合波原子和双边滤波的纹理图像滤波方法

This paper proposed a novel diffusion scheme by hybridizing wave atoms thresholding for textural images. Also designed a denoising algorithm based on the relationship between solution of nonlinear diffusion equation and bilateral filtering method. Numerical experiments illustrate the good performance in comparison to the state-of-the-art denoising algorithms, such as wave atoms shrinkage method, and the bilateral filtering method, scale mixtures of Gaussians (GSM) method, non-local mean (NLM) method, by using two objective measures: peak signal-to-noise ratio (PSNR) and structural similarity (SSIM).