Finding the Parameters of a Nonlinear Diffusion Denoising Method by Ridge Analysis
- 作者: Mamaev N.V.1, Yurin D.V.1, Krylov A.S.1
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隶属关系:
- Faculty of Computational Mathematics and Cybernetics, Moscow State University
- 期: 卷 29, 编号 3 (2018)
- 页面: 334-343
- 栏目: Article
- URL: https://journals.rcsi.science/1046-283X/article/view/247760
- DOI: https://doi.org/10.1007/s10598-018-9413-6
- ID: 247760
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详细
Noise-suppression (denoising) methods depend on the parameters that regulate filtering intensity. The noise-free image is inaccessible in practice, and we have to choose optimal parameters that use only the original noisy image and a filtered image. Image quality can be measured in the presence of ridge structures (ridges and valleys) by analyzing difference frames. A method for filtering quality assessment is proposed: it evaluates the mutual information between the values of the difference frame points where ridge structures are present. Ridge structures are detected by analyzing the Hessian, which produces the directions and the characteristic width of the ridges and the valleys. The method has been tested for the Perona–Malik nonlinear diffusion on noisy images from the BSDS500 database.
作者简介
N. Mamaev
Faculty of Computational Mathematics and Cybernetics, Moscow State University
编辑信件的主要联系方式.
Email: mamaev.nikolay93@mail.ru
俄罗斯联邦, Moscow
D. Yurin
Faculty of Computational Mathematics and Cybernetics, Moscow State University
Email: mamaev.nikolay93@mail.ru
俄罗斯联邦, Moscow
A. Krylov
Faculty of Computational Mathematics and Cybernetics, Moscow State University
Email: mamaev.nikolay93@mail.ru
俄罗斯联邦, Moscow
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