Infrared and Laser Engineering, Volume. 48, Issue 1, 117004(2019)
Space object deconvolution from wavefront sensing by wavefront phase modelling based on simplex splines function
An image restoration method for ground-based adaptive optics telescope imaging was proposed in the case of simultaneous recording of short exposure images and wavefront sensor measurements. The proposed method was based on a zonal representation of the turbulence-degraded wavefront phase using bivariate simplex splines function, instead of the traditional Zernike modal decomposition; an average slopes measurement model for Shack-Hartmann wavefront sensor was then built based on the zonal representation method, which transformed the ill-posed wavefront reconstruction problem into a well-conditioned equality constrained least squares problem. The object image was finally obtained by non-blind Richardson -Lucy iterative deconvolution. Simulated experiments show that the proposed method performs superior image restoration results and noise suppression capability in different turbulence strength.
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Guo Shiping, Yang Ning, Zhang Ziteng, Hu Suhai, Zhang Rongzhi. Space object deconvolution from wavefront sensing by wavefront phase modelling based on simplex splines function[J]. Infrared and Laser Engineering, 2019, 48(1): 117004
Category: 光电测量
Received: Aug. 7, 2018
Accepted: Sep. 10, 2018
Published Online: Apr. 2, 2019
The Author Email: Shiping Guo (guoship@163.com)