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Proceedings Paper

An evaluation criterion based on image complexity for ghost imaging
Author(s): Xia Liu; Yan Zhao; Zhaohua Yang; Gaoliang Li
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Paper Abstract

In this paper, an evaluation criterion based on image complexity is proposed in ghost imaging. According to the iterative performance of ghost imaging, characteristic factors of describing image complexity are introduced for seeking a new evaluation criterion to improve evaluation method. The proposed image complexity can be utilized to assess the iterative performance of different ghost imaging algorithms. The assessment results indicate that the proposed image complexity has a similar function with SNR, which is used to evaluate the iterative performance of ghost imaging. Compared with other existing evaluation methods, the obvious advantage is availability when the original image is unknown, and experiment results demonstrate that the new evaluation criterion is valid in ghost imaging.

Paper Details

Date Published: 29 August 2016
PDF: 7 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003337 (29 August 2016); doi: 10.1117/12.2244640
Show Author Affiliations
Xia Liu, BeiHang Univ. (China)
Yan Zhao, BeiHang Univ. (China)
Zhaohua Yang, BeiHang Univ. (China)
Gaoliang Li, BeiHang Univ. (China)


Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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