This paper studies underwater image processing in closed space based on dark channel prior and adaptive color correction. For the problems of poor image processing effect and color distortion of traditional underwater image dehazing methods in closed space with uneven illumination intensity, this paper introduces adaptive red channel compensation parameters to avoid the phenomenon of red light loss after dehazing the underwater image by using dark channel principle, and uses the vignetting model to improve the brightness of underwater image. The channel is calibrated to reduce the influence of light intensity on image quality. The proposed method is tested in a real sealed underwater environment. The experimental results show that, compared with traditional dehazing algorithms, the proposed method can effectively improve the brightness of the image while restoring the color of the image.