An improved non-local means filter for color image denoising
Article
Article Title | An improved non-local means filter for color image denoising |
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ERA Journal ID | 1279 |
Article Category | Article |
Authors | Wang, Gaihua (Author), Liu, Yang (Author), Xiong, Wei (Author) and Li, Yan (Author) |
Journal Title | Optik |
Journal Citation | 173, pp. 157-173 |
Number of Pages | 17 |
Year | 2018 |
Place of Publication | Germany |
ISSN | 0030-4026 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.ijleo.2018.08.013 |
Web Address (URL) | https://www.sciencedirect.com/science/article/abs/pii/S0030402618311264 |
Abstract | Non-local means filter is a special case of non-linear filter. It performs well for filtering Gaussian noise while preserving edges and details of the original images. In this paper, we propose an improved filter for color image denoising based on combining the advantages of non-local means filter and bilateral filter. To compare the similarity of patches, a new weight value is computed by adding texture information into weights. The experimental results of color image filtering show that the proposed method has a better performance for reducing Gaussian noise and mixture noise. |
Keywords | Non-local means, Bilateral filter, Gaussian noise, color image denoising |
ANZSRC Field of Research 2020 | 460306. Image processing |
Byline Affiliations | Hubei University of Technology, China |
Linkoping University, Sweden | |
Faculty of Health, Engineering and Sciences | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q63zy/an-improved-non-local-means-filter-for-color-image-denoising
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