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ECLIPSE: exploring the dark proteome of ESKAPE pathogens through the sequence similarity network of the Protein Universe Atlas. [PDF]
BioinformaticsLata S, Heinz DW.
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Deblurring Images via Dark Channel Prior
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018We present an effective blind image deblurring algorithm based on the dark channel prior. The motivation of this work is an interesting observation that the dark channel of blurred images is less sparse. While most patches in a clean image contain some dark pixels, this is not the case when they are averaged with neighboring ones by motion blur.
Hanspeter Pfister +2 more
exaly +4 more sources
Blind Image Deblurring Using Dark Channel Prior
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016We present a simple and effective blind image deblurring method based on the dark channel prior. Our work is inspired by the interesting observation that the dark channel of blurred images is less sparse.
Jin-shan Pan +3 more
semanticscholar +3 more sources
GUDCP: Generalization of Underwater Dark Channel Prior for Underwater Image Restoration
IEEE Transactions on Circuits and Systems for Video Technology, 2022This letter introduces an underwater image enhancement method to handle low contrast and color cast of underwater images. Firstly, with the help of hierarchical searching technique, we propose a novel backscattered light estimation method.
Zheng Liang, Xianping Fu, Yafei Wang
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Underwater polarimetric dark channel prior descattering
Optics and Laser TechnologyJinge Guan, Miao Ma, Yongsheng Huo
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Single Image Haze Removal Using Dark Channel Prior
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011Xiaoou Tang
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Dark-ControlNet: an enhanced dehazing universal plug-in based on the dark channel prior
Applied IntelligenceYu Yang, Xuesong Yin, Yi-Gang Wang
semanticscholar +2 more sources
Image Dehazing Through Dark Channel Prior and Color Attenuation Prior
2021With an increase in motor transportation in megacities, the pollutants in the air are rising dramatically. This increases the number of unburnt particulates, dust, and smoke being released into the air. Haze is a phenomenon that emerges from such conditions that tends to affect image quality.
Jacob John, Prabu Sevugan
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Single Image Dehazing with Dark Channel Prior
2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2021In applications related to computation of visuals, the clear picture is very crucial component but certain atmospheric conditions like haze and fog prompt the suspended particles which lead to degradation of the image. This hinders the flow of vision systems. Therefore, implementation of image dehazing has become important to improve the throughput and
Jaspreet Kaur +4 more
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