Binarization threshold optimization of ghost imaging

Dongyue Yang; Junhui Li; Guohua Wu; Bin Luo; Longfei Yin; Hong Guo

doi:10.1364/COSI.2018.CTh4A.1

Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2018),
paper CTh4A.1
•https://doi.org/10.1364/COSI.2018.CTh4A.1

Binarization threshold optimization of ghost imaging

Dongyue Yang, Junhui Li, Guohua Wu, Bin Luo, Longfei Yin, and Hong Guo

Computational Optical Sensing and Imaging 2018

Orlando, Florida United States
25–28 June 2018
ISBN: 978-1-943580-44-6

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Quantum Computational Imaging (CTh4A)

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D. Yang, J. Li, G. Wu, B. Luo, L. Yin, and H. Guo, "Binarization threshold optimization of ghost imaging," in Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP), OSA Technical Digest (Optica Publishing Group, 2018), paper CTh4A.1.

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Abstract

Quantized discrete sampling, in particular, binarization decreases image quality of ghost imaging. Performance optimizing binarization threshold can approach that without quantization. Median is more likely to be the optimal threshold than the first quantization level.

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