High dynamic range imaging is an emerging technology for generating high quality images. The most common method is to acquire high dynamic range images in a multi-exposure fusion manner. The biggest disadvantage of such algorithms is the "artifact" phenomenon caused by the target motion, or the time cost of avoiding "artifacts" for registration. Therefore, Therefore, a high dynamic range imaging algorithm based on the just noticeable difference (JND) and detail enhancement is proposed, which belongs to the generation of high dynamic images from a single image. According to the JND edge of the improved human visual characteristics and local variance matrix, combined with the fuzzy system to obtain the weight matrix describing the quality of different exposure images, so that different exposure images are fused into HDR images. The experimental results show that the algorithm can effectively improve the contrast and clarity of the image, and the generated image is more in line with the subjective visual effect of the human eye. © 2019 Association for Computing Machinery.