In response to the problem that the space environment has complex lighting and the space camera cannot adjust to the appropriate exposure, which can easily lead to poor image quality, this paper combines the automatic camera exposure method and the image low-light enhancement algorithm to design a real-time automatic camera dimming method applicable to generalized space scenarios. To begin with, for the problem that overexposure easily leads to the loss of image content, this paper designs an automatic exposure algorithm adapted to the characteristics of the human eye, and transforms the camera exposure correction problem into an image low-light enhancement problem. Then, the ultra-lightweight real-time low-light enhancement algorithm Zero-DCE is selected to deal with underexposed images, and the loss function and network structure are improved for the problems of loss of image content details after convolution and easy overexposure of the strong light part of the image after image enhancement in Zero-DCE. Finally, the PSNR and SSIM tests, which are image quality assessment methods, confirm that the proposed method improves the quality of the image after image enhancement, and the Fourier transform test, which verifies that the proposed method can highlight more image details.