| SONG Ming-zhu,QU Hong-song,ZHANG Gui-xiang,TAO Shu-ping,andJIN Guang.Low-illumination image denoising method for wide-area search of nighttime sea surface[J].Optoelectronics Letters,2018,14(3):226-231 |
| Low-illumination image denoising method for wide-area search of nighttime sea surface |
| Author Name | Affiliation | | SONG Ming-zhu | Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033,China
University of Chinese Academy of Sciences, Beijing 100059, China | | QU Hong-song | Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033,China | | ZHANG Gui-xiang | Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033,China | | TAO Shu-ping | Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033,China | | andJIN Guang | Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033,China |
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| Abstract: |
| In order to suppress complex mixing noise in low-illumination images for wide-area search of nighttime sea surface, a model based on total variation (TV) and split Bregman is proposed in this paper. A fidelity term based on L1 norm and a fidelity term based on L2 norm are designed considering the difference between various noise types, and the regularization mixed first-order TV and second-order TV are designed to balance the influence of details information such as texture and edge for sea surface image. The final detection result is obtained by using the high-frequency component solved from L1 norm and the low-frequency component solved from L2 norm through wavelet transform. The experimental results show that the proposed denoising model has perfect denoising performance for artificially degraded and low-illumination images, and the result of image quality assessment index for the denoising image is superior to that of the contrastive models. |
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