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Proceedings Paper

Phase retrieval using regularization method in intensity correlation imaging
Author(s): Xiyu Li; Xin Gao; Jia Tang; Changming Lu; Jianli Wang; Bin Wang
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Paper Abstract

Intensity correlation imaging(ICI) method can obtain high resolution image with ground-based low precision mirrors, in the imaging process, phase retrieval algorithm should be used to reconstituted the object’s image. But the algorithm now used(such as hybrid input-output algorithm) is sensitive to noise and easy to stagnate. However the signal-to-noise ratio of intensity interferometry is low especially in imaging astronomical objects. In this paper, we build the mathematical model of phase retrieval and simplified it into a constrained optimization problem of a multi-dimensional function. New error function was designed by noise distribution and prior information using regularization method. The simulation results show that the regularization method can improve the performance of phase retrieval algorithm and get better image especially in low SNR condition

Paper Details

Date Published: 18 November 2014
PDF: 7 pages
Proc. SPIE 9298, International Symposium on Optoelectronic Technology and Application 2014: Imaging Spectroscopy; and Telescopes and Large Optics, 92981G (18 November 2014); doi: 10.1117/12.2072253
Show Author Affiliations
Xiyu Li, Beijing Institute of Tracking and Telecommunications Technology (China)
Xin Gao, Beijing Institute of Tracking and Telecommunications Technology (China)
Jia Tang, Beijing Institute of Tracking and Telecommunications Technology (China)
Changming Lu, Beijing Institute of Tracking and Telecommunications Technology (China)
Jianli Wang, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Bin Wang, Changchun Institute of Optics, Fine Mechanics and Physics (China)


Published in SPIE Proceedings Vol. 9298:
International Symposium on Optoelectronic Technology and Application 2014: Imaging Spectroscopy; and Telescopes and Large Optics
Jannick P. Rolland; Changxiang Yan; Dae Wook Kim; Wenli Ma; Ligong Zheng, Editor(s)

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