There are many similarities between underwater images and low-light images, such as image blur and color distortion, but for such problems, there are few unified methods that can solve these problems well. This paper proposes a method based on multi-scale retinex color recovery (MSRCR) and color correction. First, color channel transfer (CCT) is used to preprocess the image. Then, a method of MSRCR and guided filtering is proposed to remove image fog. Finally, the statistical colorless slant correction fusion smoothing filter method is proposed to enhance the image, which improves the color contrast and sharpness of the image. Experiments have proved that the method proposed in this paper is effective in image de-hazing and enhancement.

水下图像和低光图像有很多相似之处，例如图像模糊和颜色失真，但对于此类问题，很少有统一的方法可以很好地解决这些问题。本文提出了一种基于多尺度视网膜颜色恢复（MSRCR）和颜色校正的方法。首先，使用颜色通道传输（CCT）对图像进行预处理。然后，提出了一种MSRCR和引导滤波的方法来去除图像雾。最后提出了统计无色倾斜校正融合平滑滤波方法对图像进行增强，提高了图像的色彩对比度和清晰度。实验证明，本文提出的方法在图像去雾和增强方面是有效的。