Finding the Parameters of a Nonlinear Diffusion Denoising Method by Ridge Analysis


如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅存取

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

补充文件

附件文件
动作
1. JATS XML

版权所有 © Springer Science+Business Media, LLC, part of Springer Nature, 2018