2020
DOI: 10.1088/1742-6596/1448/1/012019
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New anisotropic diffusion operator in images filtering

Abstract: The anisotropic diffusion filters have become in the fundamental bases to address the medical images noise problem. The main attributes of these filters are: the noise removal effectiveness and the preservation of the information belonging to the edges that delimit the objects of an image. Due to these excellent attributes, through this article, a comparative study is proposed between a new diffusion operator and the Lorentz operator, proposed by the pioneers of anisotropic diffusion. For this, a strategy cons… Show more

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Cited by 2 publications
(2 citation statements)
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“…Step 6. If λ ≥ 1, calculate the left-right diffusion coefficient C L and C R using equation (16); otherwise, calculate the leftright diffusion coefficient C L and C R using equation (17).…”
Section: 4mentioning
confidence: 99%
See 1 more Smart Citation
“…Step 6. If λ ≥ 1, calculate the left-right diffusion coefficient C L and C R using equation (16); otherwise, calculate the leftright diffusion coefficient C L and C R using equation (17).…”
Section: 4mentioning
confidence: 99%
“…Among the PDE denoising methods [6], the Perona-Malik model, the focus of present scientific research, is one of the most classic nonlinear anisotropic diffusion filtering models, in which the principle and calculation are relatively simple. At present, some scholars have created a lot of algorithms based on the Perona-Malik model [12][13][14][15][16][17][18][19]. And the application of these algorithms in image processing and other fields has achieved incomparable effects with classical algorithms.…”
Section: Introductionmentioning
confidence: 99%