Friday 24th of November 2017
 

A Model of Image Denoising Based on the Fusion ofAnisotropic Diffusion and Total Variation Models


Ali Abdullah Yahya

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.

Keywords: PM model, TV model, Image features, Partial Differential Equation (PDE).

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ABOUT THE AUTHOR

Ali Abdullah Yahya
Ali Abdullah Yahya received his Ms. Degree in Partial Differential Equation from University of Science and Technology of China, China, in 2010, and worked in Taiz University, Yemen. Currently he is a PhD candidate in Hefei University of Technology


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