To address the problem that the low contrast and visibility of medical CT images are not conducive to human eye observation and post-processing, this paper proposes a contrast enhancement algorithm for medical CT images based on a multi-scale exposure fusion framework to achieve enhancement of medical CT images. Firstly, the original image is decomposed and reconstructed by Laplace pyramid to reduce the interference of image noise and enhance the image details. The image is then enhanced by calculating the weight estimation matrix, the exposure rate and the brightness conversion function of the reconstructed image using the exposure combination algorithm, which enhances the image contrast and improves the image visibility at the same time. Experiments show that the method is significantly better than other traditional image enhancement algorithms and has a significant enhancement effect on medical CT images.