In this study, we propose an improved gradient domain adaptive tone mapping algorithm based on the color correction model to solve the damage of chromaticity information with respect to the process of image brightness compression in a high dynamic range, resulting in severe color gradation in regions having different image brightness and shade after tone mapping. The image brightness can be restored by combining the Gaussian pyramid of the image luminance space and Poisson equation. Subsequently, we introduce the chromaticity space color correction algorithm and apply linear interpolation between the chromatic aberration of the image and the achromatic color. Further, we adjust the color correction factor by calculating the brightness ratio before and after processing to enhance image saturation. Finally, we realize adaptive correction of the image chromaticity information. We also perform a comparison with the typical Larson, Drago, Reinhard, and gradient domain local tone mapping algorithms. The results prove that the image processed using the improved algorithm exhibits good optimization with respect to the information entropy, contrast, and average gradient. The proposed method effectively reduces the color shift because of brightness compression and enhances the overall color perception of the image.