光电工程, 2018, 45 (3): 180075, 网络出版: 2018-05-03
计算光场自适应光学成像技术研究
Research on computationally adaptive plenoptic imaging
摘要
计算光场自适应光学成像技术将目标和干扰的光场进行整体测量,再利用目标与干扰光场的四维光场信息分布特点,通过计算方法将其进行有效地区分、滤除,能在大视角范围内对干扰导致的目标光场波前畸变进行探测复原,并以计算方式自适应地补偿成像空间中的复杂波前像差扰动。与传统自适应光学成像方法相比,该方法具有较大的探测视场,可以直接以扩展目标作为信标进行波前信息解算。本文从传统自适应光学技术面临的挑战出发,简述了计算光场自适应光学成像技术的优势及发展现状,介绍了研究团队在计算光场自适应光学成像方面开展的主要工作。
Abstract
As for computational adaptive plenoptic imaging system, the light-field of the target and interference are measured together, and then according to distribution characteristics of the four-dimensional light-field information between the target and the disturbed factors, target and disturbed factors can be effectively separated. This technique can be used to detect and recover the wavefront distortion caused by interference in the large field of view, and adaptively compensate for complicated wavefront aberration by means of computation. Compared with the traditional adaptive optics imaging method, the proposed method has a larger detecting field of view, and can directly analyze and compute wavefront information based on the extended target.
吕洋, 宁禹, 马浩统, 孙全, 张烜喆, 刘文广, 许晓军. 计算光场自适应光学成像技术研究[J]. 光电工程, 2018, 45(3): 180075. Lv Yang, Ning Yu, Ma Haotong, Sun Quan, Zhang Xuanzhe, Liu Wenguang, Xu Xiaojun. Research on computationally adaptive plenoptic imaging[J]. Opto-Electronic Engineering, 2018, 45(3): 180075.