This paper proposes a de-hazing and enhancement method for underwater and low-light images to effectively enhance the images. Multi-scale Retinex color recovery (MSRCR) and guided filtering methods are used for de-hazing; super-resolution convolutional neural network (SRCNN) and non-subsampled contour transform (NSCT) technology are combined to enhance the image. Experimental results show that compared with similar existing image processing methods, this method can effectively improve the image exposure, and at the same time, it can sufficiently preserve and enhance the color saturation and edge texture details of images. It uses a unified method to achieve the enhancement of underwater and low-light images, and the results are more efficient, which has a good visual effect.