Version 2 2023-11-01, 09:47Version 2 2023-11-01, 09:47
Version 1 2023-10-30, 10:06Version 1 2023-10-30, 10:06
preprint
posted on 2023-11-01, 09:47authored byYuanhang Wang, Xing Zhong, Zheng Qu, Qixiang Gao, Lei Li, Chaoli Zeng
With the continuous improvement of imaging performance requirements, the design of imaging systems tends to become more complex, making it more difficult and expensive to manufacture and test. To overcome these problems, a simplified design framework for imaging systems based on optical-digital joint optimization is built in this paper. Specifically, this paper proposes a modified total variation (TV) regularization image recovery algorithm combined with the traditional optimization method for jointly correct the aberration and simplify the optical system by relaxing the configuration constraints under the guarantee of the imaging performance. To demonstrate the feasibility and efficiency of the method, three design examples are provided, where the structural similarity (SSIM) of the simulation imaging results is on the same level as the initial system, with a maximum error of no more than 0.04. The simulation results demonstrate that our design method can effectively simplify the optical structure of imaging systems while maintaining the high performance.
History
Funder Name
National Key Research and Development Program of China (501100012166) (2019YFE0127000)