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- W4366380746 abstract "Underwater applications require clear underwater images, however, blurring and contrast degradation in underwater images are caused by absorption, dispersion, and water mass. To address the limitations of existing color correction and deblurring algorithms, this study proposes a fusion-based image enhancement algorithm. Two images obtained by adaptive channel defogging technique and restricted histogram mapping interval correction technique are used as two inputs to the fusion framework to obtain a new underwater image. We tested our technique with a public dataset. The experimental evidence shows that the technique proposed in this paper can improve the quality and detail of blurred underwater images. This paper also demonstrates that the method has superior deblurring and color correction capabilities than other existing algorithms." @default.
- W4366380746 created "2023-04-21" @default.
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- W4366380746 date "2022-12-16" @default.
- W4366380746 modified "2023-09-30" @default.
- W4366380746 title "Underwater Image Enhancement Based on Adaptive Correction and Fusion" @default.
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- W4366380746 doi "https://doi.org/10.1145/3584376.3584433" @default.
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