An underwater attenuation image enhancement method with adaptive color compensation and detail optimization

Aiming at the problems of color compensation bias and loss of detail information in local areas of current underwater image enhancement methods, this paper proposes an underwater attenuation image enhancement method with adaptive color compensation and detail optimization. The method fully considers the attenuation level of each optical channel to guide the color correction based on the attenuation image, and introduces a brightness adjustment method to give the output image a good natural appearance. Gradient-oriented local contrast enhancement and multi-scale edge optimization methods are used to process the color- corrected image separately to obtain two clear images with balanced natural colors, high contrast and good preservation of detail information and then combine with the multi-scale fusion process Artifact-free image fusion is achieved. The experimental results on the UIEB dataset show that the method in this paper improves the UIQM and BRISQUE scores by 14.32% and 8.53%, respectively, and has fewer free parameters, which can effectively enhance attenuated image contrast, detail information and balance image color. In addition, the method in this paper has a complete feature point matching and target detection application, which can be used as a general framework for image preprocessing tasks.