Deep Signal-Dependent Denoising Noise Algorithm
Although many existing noise parameter estimations of image signal-dependent noise have certain denoising effects, most methods are not ideal. There are some problems with these methods, such as poor noise suppression effects, smooth details, lack of flexible denoising ability, etc. To solve these p...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/5/1201 |
| _version_ | 1797615497366208512 |
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| author | Lanfei Zhao Shijun Li Jun Wang |
| author_facet | Lanfei Zhao Shijun Li Jun Wang |
| author_sort | Lanfei Zhao |
| collection | DOAJ |
| description | Although many existing noise parameter estimations of image signal-dependent noise have certain denoising effects, most methods are not ideal. There are some problems with these methods, such as poor noise suppression effects, smooth details, lack of flexible denoising ability, etc. To solve these problems, in this study, we propose a deep signal-dependent denoising noise algorithm. The algorithm combines the model method with a convolutional neural network. We use the noise level of the noise image and the noise image together as the input of the convolutional neural network to obtain a wider range of noise levels than the single noise image as the input. In the convolutional neural network, the deep features of the image are extracted by multi-layer residuals, which solves the difficult problem of training. Extensive experiments demonstrate that our noise parameter estimation has good denoising performance. |
| first_indexed | 2024-03-11T07:26:10Z |
| format | Article |
| id | doaj.art-148897d60639490e80c750950f8125c7 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T07:26:10Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-148897d60639490e80c750950f8125c72023-11-17T07:33:04ZengMDPI AGElectronics2079-92922023-03-01125120110.3390/electronics12051201Deep Signal-Dependent Denoising Noise AlgorithmLanfei Zhao0Shijun Li1Jun Wang2The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, ChinaThe Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Information Engineering, Quzhou College of Technology, Quzhou 324000, ChinaAlthough many existing noise parameter estimations of image signal-dependent noise have certain denoising effects, most methods are not ideal. There are some problems with these methods, such as poor noise suppression effects, smooth details, lack of flexible denoising ability, etc. To solve these problems, in this study, we propose a deep signal-dependent denoising noise algorithm. The algorithm combines the model method with a convolutional neural network. We use the noise level of the noise image and the noise image together as the input of the convolutional neural network to obtain a wider range of noise levels than the single noise image as the input. In the convolutional neural network, the deep features of the image are extracted by multi-layer residuals, which solves the difficult problem of training. Extensive experiments demonstrate that our noise parameter estimation has good denoising performance.https://www.mdpi.com/2079-9292/12/5/1201signal-dependent noisenoise parameter estimationconvolutional neural networkimage denoising |
| spellingShingle | Lanfei Zhao Shijun Li Jun Wang Deep Signal-Dependent Denoising Noise Algorithm Electronics signal-dependent noise noise parameter estimation convolutional neural network image denoising |
| title | Deep Signal-Dependent Denoising Noise Algorithm |
| title_full | Deep Signal-Dependent Denoising Noise Algorithm |
| title_fullStr | Deep Signal-Dependent Denoising Noise Algorithm |
| title_full_unstemmed | Deep Signal-Dependent Denoising Noise Algorithm |
| title_short | Deep Signal-Dependent Denoising Noise Algorithm |
| title_sort | deep signal dependent denoising noise algorithm |
| topic | signal-dependent noise noise parameter estimation convolutional neural network image denoising |
| url | https://www.mdpi.com/2079-9292/12/5/1201 |
| work_keys_str_mv | AT lanfeizhao deepsignaldependentdenoisingnoisealgorithm AT shijunli deepsignaldependentdenoisingnoisealgorithm AT junwang deepsignaldependentdenoisingnoisealgorithm |