To solve the problems of color deviation,low contrast,and unclear details of underwater images caused by uneven illumination,this paper proposes an underwater image enhancement method based on color correction and weighted fusion.Firstly,the original image with red channel compensation is corrected by the white balance algorithm to solve the image distortion problem.Then the color-corrected image was converted from RGB space to Lab space,and the L brightness channel was processed by the CLAHE algorithm to enhance the contrast and brightness of the image. Finally,the image after color correction and the image after contrast enhancement is weighted and fused to enhance the clarity of image details.The experimental results show that the algorithm proposed in this paper is effective in processing images of different underwater scenes,and the values of information entropy,PSNR,UIQM,and UCIQE of the four image quality evaluation indexes are improved compared with other algorithms.Compared with the original image,the information entropy of the image processed by this algorithm is increased by at least 5.6%,the UIQM value is increased by more than 1.48 times,and the UCIQE value is increased by 7.5%.