Adaptive underwater image enhancement based on color compensation and fusion

Underwater images typically suffer from color deviation, low contrast and poor visibility. To deal with these problems, we propose an adaptive underwater image enhancement method based on color compensation and fusion. We first apply adaptive color compensation to the original underwater image, followed by color correction. And we continue to apply local adaptive contrast enhancement to the color-corrected image. Finally, we combine the contrast-enhanced image with the color-corrected image using a multi-scale fusion technique. The algorithm can more successfully increase underwater image deviation and blurring, as well as image contrast and local detail enhancement, according to experiments, which demonstrate that it is more adaptable to varied underwater scene types than existing methods.