Multi-exposure image fusion aims to integrate complementary information of each exposure image to form a new image with the scene information more comprehensively, accurately and reliably. The main methods in image fusion are irradiance reconstruction method, pyramidal transform wavelet transform method, HIS feigned multicolor method and so on. These methods effectively enhance the detectable target brightness range, but among most of them, the large dynamic range of the scene information is mapped to 8 bit, which indeed increases the luminance information of the underexposed and overexposed scene areas, but at the expense of the contrast of the intermediate luminance. A multi-exposure fusion method is presented, using 4 exponential integral times in a fixed scene for image capture. The unsaturated zone is matched through multiplying the low dynamic range image sequence by a integration time factor images directly. All the images are fused with the contrast being the weighting factor, ultimately, a 11 bit image with rich details and distinct levels is captured.