Open AccessGradient cross-correlation algorithm for scene-based Shack-Hartmann wavefront sensing
Author(s) -
Yangang Wang,
X. Chen,
Zhaoliang Cao,
Xingyun Zhang,
C. Liu,
Quanquan Mu
Publication year - 2018
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.26.017549
Subject(s) - wavefront , adaptive optics , fourier transform , optics , computer science , fast fourier transform , cross correlation , wavefront sensor , computer vision , algorithm , artificial intelligence , resolution (logic) , correlation , physics , mathematics , geometry , mathematical analysis , quantum mechanics
Scene-based wavefront sensing currently uses the periodic-correlation algorithm based on fast Fourier transforms. However, when the object scene contains features at the field edges, the performance of the algorithm is poor due to the periodicity of fast Fourier transforms, called wraparound effect. In this paper, we propose an algorithm based on the gradient cross-correlation. Both simulation and experiment results show its dramatic effectiveness against the wraparound effect, and a considerable improvement is obtained in image resolution with closed loop adaptive optics correction.