In order to solve the problem of poor visibility of the Vehicle Around View Monitor system affected by ambient light, this paper designs a joint color correction algorithm for multiple original images and a transparency fusion algorithm for adjacent images. Firstly, in the color correction of 4-way fish-eye images, a multi-image joint color correction algorithm is proposed based on the gray world model, which can quickly reduce the color difference caused by illumination of different cameras; Then the affine transformation is realized by using the external matrix of the camera to generate the aerial view; Finally, the illumination adjustment mapping table is introduced into the overlapping area of the aerial view to adjust the edge brightness, and the panoramic 2D aerial view is obtained through image fusion. This paper collects the actual driving video taken by four fish-eye cameras under various light scenes for testing. After processing, the evaluation index of the NQIE of the image in this paper is reduced by 64%, and the running time of a single frame is only 27ms. The results show that the method can stably output panoramic 2D aerial view with uniform illumination under different lighting scenes.