Image deblurring algorithm based on energy distribution model

Deblurring algorithms are key technologies for improving image quality. This paper establishes a photosite energy distribution model based on the cause of blur in imaging systems, divides the model into several parts according to regions, calculates the energy proportions of these parts, and designs corresponding deblurring algorithms. We performed experiments on both synthetic and real images, and the results show that the proposed deblurring algorithms effectively reduce the edge transition region, enhance the contrast of image edges, and significantly improve image quality.