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Wenjun Zhou, Xinling Yang, Chenglin Zuo, Yifan Wang and Bo Peng
To address the issue of blurred images generated during ice wind tunnel tests, we propose a high-resolution dense-connection GAN model, named Dense-HR-GAN. This issue is caused by attenuation due to scattering and absorption when light passes through clo...
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Cheng-Ying Tsai and Chieh-Li Chen
In recent decades, haze has become an environmental issue due to its effects on human health. It also reduces visibility and degrades the performance of computer vision algorithms in autonomous driving applications, which may jeopardize car driving safet...
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Samia Haouassi and Di Wu
Image dehazing plays a pivotal role in numerous computer vision applications such as object recognition, surveillance systems, and security systems, where it can be considered as an introductory stage. Recently, many proposed learning-based works address...
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Fan Yang and ShouLian Tang
The tolerance mechanism based on dark channel prior (DCP) of a single image dehazing algorithm is less effective when there are large areas of the bright region in the hazy image because it cannot obtain the tolerance adaptively according to the characte...
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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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Wenliang Qiu, Vikram Pakrashi and Bidisha Ghosh
Fishing net cleanliness plays a critical role for aquaculture industry as bio-fouled nets restrict the flow of water through the net leading to a build-up of toxins and reduced oxygen levels within the pen, thereby putting the fish under increased stress...
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Marino Mangeruga, Marco Cozza and Fabio Bruno
Underwater images usually suffer from poor visibility, lack of contrast and colour casting, mainly due to light absorption and scattering. In literature, there are many algorithms aimed to enhance the quality of underwater images through different approa...
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Xiaoyan Yuan, Mingye Ju, Zhenfei Gu and Shuwang Wang
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