Underwater image enhancement by double compensation with comparative adjustment or edge reinforcement
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Abstract:
The phenomenon of attenuation and scattering of light propagating in water lead to such problems as color deviation and blur in underwater image imaging. These problems bring great challenges to the subsequent feature matching, target recognition and other tasks. Therefore, this paper proposes an underwater image enhancement method by double compensation with comparative adjustment or edge reinforcement. Numerous experiments have found that the proposed method has good UCIQE value, UIQM value, and the number of feature matching points. This demonstrates that the proposed method has good color correction ability for underwater images with different attenuation levels, where the processed images have more details suitable for feature matching.
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Project Supported:
The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)
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