A Rapid Scene Depth Estimation Model Based on Underwater Light Attenuation Prior for Underwater Image Restoration

By Wei Song, Yan Wang, Dongmei Huang, Dian Tjondronegoro. Pacific Rim Conference on Multimedia, 2018

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How researchers see this paper

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UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color Space (2021, methodology): “From left to right are raw underwater images, the results of Histogram Equalization(HE), White Balance(WB), UDCP [55], ULAP [56], UWGAN [57], UGAN [24] ,UWCNN [25], DUIENet [1], the proposed UIECˆ2-Net and reference images. to introduce artifacts, over-enhancement and color casts.”
Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map (2019, background): “In our previous work [52], we revealed that with underwater light attenuation prior (ULAP) the scene depth increases with”
U-Shape Transformer for Underwater Image Enhancement (2021, methodology): “More recently, as to the data-driven methods [21], [3], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [4], which could be regarded as deep learning technologies in UIE domain, exhibit impressive performance on UIE task.”