The invention relates to a method for evaluating the perception sharpness of a fused image based on human visual characteristics, and belongs to the technical field of image fusion in image processing. A human perception contrast module is constructed on the basis of two main human visual characteristics, namely a contrast sensitivity characteristic and a brightness mask characteristic, a novel image perception contrast algorithm is disclosed through an improved Peli contrast model, and the perception sharpness of the image is evaluated by calculating the human perception contrast of a detailed edge area in the image to obtain an image sharpness objective evaluation model consistent with human subjective evaluation. The method is mainly used for judging whether fused images in different bands can meet specific application requirements or not, namely judging whether the fused images are favorable for an observer to understand image scene contents or not.