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MDNet: A Fusion Generative Adversarial Network for Underwater Image Enhancement

Underwater images are widely used in ocean resource exploration and ocean environment surveillance. However, due to the influence of light attenuation and noise, underwater images usually display degradation phenomena such as blurring and color deviation; an enhancement method is required to make th...

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Bibliografiset tiedot
Päätekijät: Song Zhang, Shili Zhao, Dong An, Daoliang Li, Ran Zhao
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2023-06-01
Sarja:Journal of Marine Science and Engineering
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Linkit:https://www.mdpi.com/2077-1312/11/6/1183
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