Aiming at the problem of the low dynamic range of extreme exposure images, such as underexposure and overexposure images, a detail perception image fusion algorithm based on multi-scale decomposition was proposed. After detail enhancement, the underexposed image was roughly fused with the overexposed image. Wavelet transform was used to perform multi-scale decomposition on the brightness component of the image after detail enhancement, and a special high-frequency and low-frequency fusion strategy was designed to realize the fine fusion of brightness components. The hue and saturation components of the coarse fusion image were recombined with the brightness components of the fine fusion image to obtain the final fusion result. Based on abundant testing data, the experimental results show that the visual effect of this method is excellent. The index of averaged MEF-SSIM is 0.985 4, and the index of averaged SSIM is 0.650 8, which are superior to the existing mainstream algorithms.