Under Water Image Enhancement
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Underwater image enhancement model inspired by the morphology and function of the teleost fish retina. This technique aim to solve the problems of underwater image degradation raised by the blurring and non-uniform color-biasing. In particular, the feedback from color-sensitive horizontal cells to cones and a red channel compensation are used to correct the non-uniform color bias. Extensive qualitative and quantitative evaluations on various underwater scenes validate the competitive performance of this technique. This model also significantly improves the accuracy of transmission map estimati...
Underwater image enhancement model inspired by the morphology and function of the teleost fish retina. This technique aim to solve the problems of underwater image degradation raised by the blurring and non-uniform color-biasing. In particular, the feedback from color-sensitive horizontal cells to cones and a red channel compensation are used to correct the non-uniform color bias. Extensive qualitative and quantitative evaluations on various underwater scenes validate the competitive performance of this technique. This model also significantly improves the accuracy of transmission map estimation and local feature point matching using the underwater image.
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