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5 November 2018 Adaptive polarization compressive ghost imaging based on principal component analysis
Xiang Zhai, Xiang Fan, Zhengdong Cheng, Yi Chen, Zhenyu Liang
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Proceedings Volume 10816, Advanced Optical Imaging Technologies; 108161A (2018) https://doi.org/10.1117/12.2500888
Event: SPIE/COS Photonics Asia, 2018, Beijing, China
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.
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Xiang Zhai, Xiang Fan, Zhengdong Cheng, Yi Chen, and Zhenyu Liang "Adaptive polarization compressive ghost imaging based on principal component analysis", Proc. SPIE 10816, Advanced Optical Imaging Technologies, 108161A (5 November 2018); https://doi.org/10.1117/12.2500888
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KEYWORDS
Polarization
Principal component analysis
Digital micromirror devices
Detection and tracking algorithms
Linear polarizers
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