It has been theoretically proven that dehazing models can effectively solve image exposure correction. To solve the abnormal exposure in a single image, we improved the transmittance in the dehazing model and proposed an image exposure correction method using the inversion fusion framework. First, we performed haze modeling for the overexposed high-intensity light source in the local area. Thereafter, we used the improved dehazing model to complete the overexposure correction task. For the underexposure correction problem, we obtained the pseudo-haze image using the inversion operation. The underexposure correction result image was obtained by combining the dehazing model and duality formula between the Retinex theory and dehazing method. Finally, we generated a new pyramid weight map using multiscale image fusion technology, and the final correction result was obtained via Laplacian pyramid reconstruction. Furthermore, we compared the proposed method with four mainstream image correction methods. The experimental results show that the proposed method corrects the abnormal exposure areas of a single image and minimizes the interference image distortion and halo artifacts.