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