Image Noise Removal Method Based on Improved Nonlocal Mean Algorithm
Aiming at the problem of unclear images acquired in interactive systems, an improved image processing algorithm for nonlocal mean denoising is proposed. This algorithm combines the adaptive median filter algorithm with the traditional nonlocal mean algorithm, first adjusts the image window adaptivel...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/5578788 |
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| _version_ | 1832548897812119552 |
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| author | Keya Huang Hairong Zhu |
| author_facet | Keya Huang Hairong Zhu |
| author_sort | Keya Huang |
| collection | DOAJ |
| description | Aiming at the problem of unclear images acquired in interactive systems, an improved image processing algorithm for nonlocal mean denoising is proposed. This algorithm combines the adaptive median filter algorithm with the traditional nonlocal mean algorithm, first adjusts the image window adaptively, selects the corresponding pixel weight, and then denoises the image, which can have a good filtering effect on the mixed noise. The experimental results show that, compared with the traditional nonlocal mean algorithm, the algorithm proposed in this paper has better results in the visual quality and peak signal-to-noise ratio (PSNR) of complex noise images. |
| format | Article |
| id | doaj-art-8424fb1ef8864c259973d0b9734c2952 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-8424fb1ef8864c259973d0b9734c29522025-02-03T06:12:51ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/55787885578788Image Noise Removal Method Based on Improved Nonlocal Mean AlgorithmKeya Huang0Hairong Zhu1School of Mechanical and Electric Engineering, Soochow University, Suzhou, ChinaSchool of Mechanical and Electrical Engineering, Jiangsu College of Engineering and Technology, Nantong, ChinaAiming at the problem of unclear images acquired in interactive systems, an improved image processing algorithm for nonlocal mean denoising is proposed. This algorithm combines the adaptive median filter algorithm with the traditional nonlocal mean algorithm, first adjusts the image window adaptively, selects the corresponding pixel weight, and then denoises the image, which can have a good filtering effect on the mixed noise. The experimental results show that, compared with the traditional nonlocal mean algorithm, the algorithm proposed in this paper has better results in the visual quality and peak signal-to-noise ratio (PSNR) of complex noise images.http://dx.doi.org/10.1155/2021/5578788 |
| spellingShingle | Keya Huang Hairong Zhu Image Noise Removal Method Based on Improved Nonlocal Mean Algorithm Complexity |
| title | Image Noise Removal Method Based on Improved Nonlocal Mean Algorithm |
| title_full | Image Noise Removal Method Based on Improved Nonlocal Mean Algorithm |
| title_fullStr | Image Noise Removal Method Based on Improved Nonlocal Mean Algorithm |
| title_full_unstemmed | Image Noise Removal Method Based on Improved Nonlocal Mean Algorithm |
| title_short | Image Noise Removal Method Based on Improved Nonlocal Mean Algorithm |
| title_sort | image noise removal method based on improved nonlocal mean algorithm |
| url | http://dx.doi.org/10.1155/2021/5578788 |
| work_keys_str_mv | AT keyahuang imagenoiseremovalmethodbasedonimprovednonlocalmeanalgorithm AT hairongzhu imagenoiseremovalmethodbasedonimprovednonlocalmeanalgorithm |