A modified nonlocal-means for adaptive image denoising
Image denoising is an important problem and widely studied in image processing. Denoising is a crucial step to increase image conspicuity and to improve the performances of all the processing needed for quantitative imaging analysis. This work presents a modified nonlocal-mean denoising method based...
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Published in | Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology Vol. 8; pp. 4224 - 4227 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.08.2011
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Subjects | |
Online Access | Get full text |
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Summary: | Image denoising is an important problem and widely studied in image processing. Denoising is a crucial step to increase image conspicuity and to improve the performances of all the processing needed for quantitative imaging analysis. This work presents a modified nonlocal-mean denoising method based on the texture collection and edge information. At last, experiments result illustrate that the technique can be successfully used to the classical case of additive Gaussian noise. The proposed algorithm seems to improve on the state of the art performance. |
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ISBN: | 9781612840871 1612840876 |
DOI: | 10.1109/EMEIT.2011.6023978 |