An evaluation criterion based on image complexity for ghost imaging

Xia Liu; Yan Zhao; Zhaohua Yang; Gaoliang Li

doi:10.1117/12.2244640

29 August 2016 An evaluation criterion based on image complexity for ghost imaging

Xia Liu, Yan Zhao, Zhaohua Yang, Gaoliang Li

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 1003337 (2016) https://doi.org/10.1117/12.2244640
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

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.

Citation Download Citation

Xia Liu, Yan Zhao, Zhaohua Yang, and Gaoliang Li "An evaluation criterion based on image complexity for ghost imaging ", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003337 (29 August 2016); https://doi.org/10.1117/12.2244640

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