A Model of Image Denoising Based on the Fusion of Anisotropic Diffusion and Total Variation Models*
نویسندگان
چکیده
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.
منابع مشابه
The Research on the Model of Image Denoising Based on the Fusion of Anisotropic Diffusion and Total Variation Models
In this paper, the author researched on the model of image denoising based on the fusion of anisotropic diffusion and total variation models. The noise is present at almost all data. The noise can degrade image quality, as a result the interpretations and analysis of the image will be much harder. Denoising is the process of reducing the noise.
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