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Proceedings Paper

Adaptive polarization compressive ghost imaging based on principal component analysis
Author(s): Xiang Zhai; Xiang Fan; Zhengdong Cheng; Yi Chen; Zhenyu Liang
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Paper Abstract

Ghost imaging is an imaging mechanism that can non-locally obtain an unknown object’s information with a single-pixel detector by the correlation of intensity fluctuations. To overcome the drawback of polarization compressive ghost imaging (PCGI), here we develop a novel adaptive polarization compressive ghost imaging (APCGI) method. By performing principal component analysis of the polarization statistics, we can compute the optimum unequal weighting coefficients forming as linear combinations of the light into bucket detectors. The specific steps of APCGI include calculating complete polarization parameters on the background, performing principal components analysis for optimal parameters, obtaining the information on the target-with-background scene. Experimental results demonstrate that adaptive polarization compressive ghost imaging performs better in restraining the background and pop out the details of targets as well as obtains better image quality.

Paper Details

Date Published: 5 November 2018
PDF: 6 pages
Proc. SPIE 10816, Advanced Optical Imaging Technologies, 108161A (5 November 2018); doi: 10.1117/12.2500888
Show Author Affiliations
Xiang Zhai, National Univ. of Defense Technology (China)
Xiang Fan, National Univ. of Defense Technology (China)
Zhengdong Cheng, National Univ. of Defense Technology (China)
Yi Chen, National Univ. of Defense Technology (China)
Zhenyu Liang, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 10816:
Advanced Optical Imaging Technologies
Xiao-Cong Yuan; Kebin Shi; Michael G. Somekh, Editor(s)

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