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Erkang Chen, Tian Ye, Qianru Chen, Bin Huang and Yendo Hu
Underwater images often suffer from low contrast, low visibility, and color deviation. In this work, we propose a hybrid underwater enhancement method consisting of addressing an inverse problem with novel Retinex transmission map estimation and adaptive...
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Aidi Yu, Yujia Wang and Sixing Zhou
A distance-independent background light estimation method is proposed for underwater overhead images. The method addresses the challenge of the absence of the farthest point in underwater overhead images by adopting a global perspective to select the opt...
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Yutaro Iwamoto, Naoaki Hashimoto and Yen-Wei Chen
This study proposes real-time haze removal from a single image using normalised pixel-wise dark-channel prior (DCP). DCP assumes that at least one RGB colour channel within most local patches in a haze-free image has a low-intensity value. Since the spat...
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Mengyao Feng, Teng Yu, Mingtao Jing and Guowei Yang
Currently, haze removal of images captured at night for foggy scenes rely on the traditional, prior-based methods, but these methods are frequently ineffective at dealing with night hazy images. In addition, the light sources at night are complicated and...
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