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Jingxia Jiang, Peiyun Huang, Lihan Tong, Junjie Yin and Erkang Chen
Underwater images are frequently subject to color distortion and loss of details. However, previous enhancement methods did not tackle these mixed degradations by dividing them into sub-problems that could be effectively addressed. Moreover, the paramete...
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Xinqiang Chen, Chenxin Wei, Zhengang Xin, Jiansen Zhao and Jiangfeng Xian
Maritime ship detection plays a crucial role in smart ships and intelligent transportation systems. However, adverse maritime weather conditions, such as rain streak and fog, can significantly impair the performance of visual systems for maritime traffic...
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Rong Du, Weiwei Li, Shudong Chen, Congying Li and Yong Zhang
Underwater image enhancement recovers degraded underwater images to produce corresponding clear images. Image enhancement methods based on deep learning usually use paired data to train the model, while such paired data, e.g., the degraded images and the...
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Hirokazu Doi
Representation of self-face is vulnerable to cognitive bias, and consequently, people often possess a distorted image of self-face. The present study sought to investigate the neural mechanism underlying distortion of self-face representation by measurin...
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Hyeonah Jeong, Eunsu Lee and Hoon Yoo
This paper presents a new method for extracting an elemental image array in three-dimensional (3D) integral imaging. To reconstruct 3D images in integral imaging, as the first step, a method is required to accurately extract an elemental image array from...
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