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Degradation-Aware Multi-Stage Fusion for Underwater Image Enhancement. [PDF]
J ImagingXie L, Chen H, Shu J.
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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.
Jinshan Pan +3 more
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Underwater polarimetric dark channel prior descattering
Optics & Laser TechnologyJinge Guan, Miao Ma, Yongsheng Huo
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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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Single image haze removal using dark channel prior
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009In this paper, we propose a simple but effective image prior-dark channel prior to remove haze from a single input image. The dark channel prior is a kind of statistics of outdoor haze-free images. It is based on a key observation-most local patches in outdoor haze-free images contain some pixels whose intensity is very low in at least one color ...
Kaiming, He, Jian, Sun, Xiaoou, Tang
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