A Gray-level Value Logarithm Ratio Neighborhood Filters Method for Image Denoising

Neighborhood filters are modern and powerful techniques for image denoising. In this paper, we perform an analysis for the normalization Factor of Neighborhood filters, where the size of the gray Euclidean distance is small. We prove that the weak edges and details are smoothed, and the gray level t...

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Bibliographic Details
Published in:Technical review - IETE 2008-11, Vol.25 (6), p.333-337
Main Authors: Guan-nan, Chen, Rong, Chen, Kun-tao, Yang, Jian-xin, Chen, Zu-fang, Huang, Zhi-ming, Xie
Format: Article
Language:English
Subjects:
Algorithms
Colleges & universities
Color transition
Computer science
Edge and details maintenance
Education
Gray level transition
Image denoising
Neighborhood filters
Normalization factor
Optics
Partial differential equations
R&D
Regularization methods
Research & development
Semiconductors
Software engineering
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Summary:Neighborhood filters are modern and powerful techniques for image denoising. In this paper, we perform an analysis for the normalization Factor of Neighborhood filters, where the size of the gray Euclidean distance is small. We prove that the weak edges and details are smoothed, and the gray level transition tends to become mild, when filtering with these Neighborhood filters. As a solution, a new gray-level value logarithm ratio range filter kernel is pointed out for the normalization Factor of Bilateral filter, a representative method of Neighborhood filters. The new gray-level value logarithm ratio Neighborhood filters method can not only restrain noise well but also keep much more weak edges and details of images, and preserve the original gray level or color transition for gray images or color images.
ISSN:0256-4602
0974-5971
DOI:10.4103/0256-4602.45425