Low-illumination image denoising method for wide-area search of nighttime sea surface |
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Authors: | SONG Ming-zhu QU Hong-song ZHANG Gui-xiang TAO Shu-ping and andJIN Guang |
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Affiliation: | 1.Changchun Institute of Optics, Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun,China;2.University of Chinese Academy of Sciences,Beijing,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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