Simple lens point spread function estimation method

• Main Authors: TAN HANLIN, ZHANG MAOJUN, CAI HANXIAO, CHEN CHEN, XIAO HUAXIN, LIU YU
• Format: Patent
• Language: Chinese; English
• Published: 25.08.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention discloses a simple lens point spread function estimation method, which comprises the following steps of: acting a point spread function generated according to the characteristics of a single lens on a clear image to obtain a simulated single lens blurred image; the single-lens blurred image is transformed to a frequency domain through Fourier transform to serve as input of an end-to-end neural network, and an estimated point spread function is generated; calculating a loss function according to the estimated point spread function and the generated point spread function, and pushing end-to-end neural network parameters to be updated along with training iteration; and a final estimated point spread function is obtained. According to the method, accurate parametric modeling and generation are performed on the single-lens point spread function, so that the generated point spread function better conforms to the characteristics of the single lens, a series of image processing technical characteristics