Optimization of light field fluctuation patterns in ghost imaging by mutual coherence minimization based on dictionary learning

Chenyu Hu; Chenyu Hu; Jian Wang; Zengfeng Huang; Zhishen Tong; Zhishen Tong; Zhentao Liu; Zhentao Liu; Shengying Liu; Shengying Liu; Shuang Ma; Shuang Ma; Shensheng Han; Shensheng Han

doi:10.1364/COSI.2018.CTh4A.6

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.6
•https://doi.org/10.1364/COSI.2018.CTh4A.6

Optimization of light field fluctuation patterns in ghost imaging by mutual coherence minimization based on dictionary learning

Chenyu Hu, Jian Wang, Zengfeng Huang, Zhishen Tong, Zhentao Liu, Shengying Liu, Shuang Ma, and Shensheng Han

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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C. Hu, J. Wang, Z. Huang, Z. Tong, Z. Liu, S. Liu, S. Ma, and S. Han, "Optimization of light field fluctuation patterns in ghost imaging by mutual coherence minimization based on dictionary learning," 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.6.

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Abstract

We propose a scheme of optimization in ghost imaging by minimizing the mutual coherence between measurement matrix and an overcomplete dictionary. Simulation results show the effectiveness of the optimization.

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