The invention relates to a multi-exposure image fusion method, which solves the technical problems of incomplete detail information retention and incomplete ghosting elimination, and comprises the following steps of: 1, constructing an initial weight map by using exposure brightness and chroma information of a multi-exposure image sequence; 2, firstly, moving object detection is conducted on the low-dynamic image sequence, a moving area is calculated, and then a ghosting eliminating method based on super-pixel segmentation is used for eliminating ghosting; 3, completing ghosting correction onthe initial weight map in the step 1; 4, performing normalization processing on the weight map after ghosting correction in the step 3; and 5, constructing a weighted Gaussian pyramid according to theweight graph in the step 4, constructing a Laplacian pyramid of a low-dynamic image sequence, defining detail gain items, calculating a fusion pyramid, and performing image reconstruction according to the fusion pyramid to obtain a fusion image HDR. The problem is well solved, and the method can be used for image processing.