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Ana Rita Gaspar and Aníbal Matos
Some structures in the harbour environment need to be inspected regularly. However, these scenarios present a major challenge for the accurate estimation of a vehicle?s position and subsequent recognition of similar images. In these scenarios, visibility...
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Sen Lin, Ruihang Zhang, Zemeng Ning and Jie Luo
The underwater images acquired by marine detectors inevitably suffer from quality degradation due to color distortion and the haze effect. Traditional methods are ineffective in removing haze, resulting in the residual haze being intensified during color...
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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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Yajing Han and Dean Hu
Visual traffic surveillance using computer vision techniques can be noninvasive, automated and cost effective. Traffic surveillance systems with the ability to detect, count and classify vehicles can be employed in gathering traffic statistics and achiev...
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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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Shengyu Hao, Peiyi Wang and Yanzhu Hu
At present, the identification of haze levels mostly relies on traditional measurement methods, the real-time operation and convenience of these methods are poor. This paper aims to realize the identification of haze levels based on the method of haze im...
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