A Model of Image Denoising Based on the Fusion of Anisotropic Diffusion and Total Variation Models
Ali Abdullah Yahya, Jieqing Tan · 2013
In this paper, a new denoising technique for images corrupted with additive salt and pepper noise and white Gaussian noise is proposed. The technique used here is to combine the anisotropic diffusion (PM) model and total variation (TV) model. The new technique utilizes both advantages of PM model and TV model, while avoiding the disadvantages of both of them. To evaluate our algorithm several experiments have been conducted. The experimental results affirm the high performance of our model.