Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
488824 | Procedia Computer Science | 2014 | 9 Pages |
Abstract
An anisotropic diffusion-based image enhancement method is proposed in this article. The provided PDE denoising approach is derived from the well-known Perona-Malik nonlinear diffusion model, representing an improved version of it. Thus, we model a novel diffusivity function and explain the mathematical reasons behind it. The conductance parameter of our diffusion technique is automatically detected at each iteration. The proposed PDE-based smoothing technique provides satisfactory noise removal and edge enhancement results, outperforming the most diffusion-based approaches.
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