Robust Anisotropic Diffusion Scheme for Image Noise Removal
Author(s) -
Tudor Barbu
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.08.133
Subject(s) - anisotropic diffusion , computer science , edge preserving smoothing , smoothing , diffusion , noise (video) , noise reduction , enhanced data rates for gsm evolution , image (mathematics) , algorithm , image denoising , nonlinear system , function (biology) , mathematical optimization , artificial intelligence , computer vision , mathematics , physics , quantum mechanics , evolutionary biology , biology , thermodynamics
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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