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.
Research on computationally adaptive plenoptic imaging
First published at:Mar 15, 2018
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Get Citation: Lv Yang, Ning Yu, Ma Haotong, et al. Research on computationally adaptive plenoptic imaging[J]. Opto-Electronic Engineering, 2018, 45(3): 180075.