Aiming at the problems of color distortion and low contrast of underwater degraded images in different scenes,an underwater image enhancement method combining multi-channel equalization and multi-scale fusion is proposed.Firstly,the green channel is used to compensate the red channel and then the red channel is strengthened again through the regional red channel mean.Secondly,the self-adaptive platform histogram equalization is used to expand the gray-level range of R,G and B channels and redistribute the gray values.Finally,the V channel processed by Gamma,GUM and CLAHE algorithms is fused at multiple scales.The experimental results show that the proposed algorithm is simple and effective,which can significantly improve the haze and blue-green appearance of the image,enhance the image definition,and show strong generalization adaptability in a variety of scenes.