To obtain images having a high dynamic range, a multiexposure image fusion method based on an improved exposure evaluation and double pyramids is proposed in this paper. First, the exposure measurement index used for the evaluation of weight quality is optimized, and a weight image is constructed. Then, the Gaussian pyramid for decomposing weight images and the Laplacian pyramid for decomposing the original image are combined, and exposure fusion is implemented at different scales and decomposition layers to preserve more image detail information. Experimental results show that compared with the original image, the exposure-evaluation-based image, and the pyramid-based image, the image detail information fused by the method improve by 23.5%, 3.9% and 0.9%, respectively.