中国物理B ›› 2023, Vol. 32 ›› Issue (2): 24202-024202.doi: 10.1088/1674-1056/ac9b34
Yun Su(苏云)1,2, Teli Xi(席特立)1, and Xiaopeng Shao(邵晓鹏)1,†
Yun Su(苏云)1,2, Teli Xi(席特立)1, and Xiaopeng Shao(邵晓鹏)1,†
摘要: Computational optical imaging is an interdisciplinary subject integrating optics, mathematics, and information technology. It introduces information processing into optical imaging and combines it with intelligent computing, subverting the imaging mechanism of traditional optical imaging which only relies on orderly information transmission. To meet the high-precision requirements of traditional optical imaging for optical processing and adjustment, as well as to solve its problems of being sensitive to gravity and temperature in use, we establish an optical imaging system model from the perspective of computational optical imaging and studies how to design and solve the imaging consistency problem of optical system under the influence of gravity, thermal effect, stress, and other external environment to build a high robustness optical system. The results show that the high robustness interval of the optical system exists and can effectively reduce the sensitivity of the optical system to the disturbance of each link, thus realizing the high robustness of optical imaging.
中图分类号: (Optical system design)