Super-Resolution Imaging Based on Spectral Dimensional Information

Zhishen Tong; Zhishen Tong; Jian Wang; Zengfeng Huang; Zhentao Liu; Zhentao Liu; Chenyu Hu; Chenyu Hu; Xia Shen; Xia Shen; Shengying Liu; Shengying Liu; Shuang Ma; Shuang Ma; Jianrong Wu; Jianrong Wu; Enrong Li; Enrong Li; Shensheng Han; Shensheng Han

doi:10.1364/COSI.2018.CTh3C.2

Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2018),
paper CTh3C.2
•https://doi.org/10.1364/COSI.2018.CTh3C.2

Super-Resolution Imaging Based on Spectral Dimensional Information

Zhishen Tong, Jian Wang, Zengfeng Huang, Zhentao Liu, Chenyu Hu, Xia Shen, Shengying Liu, Shuang Ma, Jianrong Wu, Enrong Li, 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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Imaging through aberrations, Structured illumination & super resolution (CTh3C)

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Z. Tong, J. Wang, Z. Huang, Z. Liu, C. Hu, X. Shen, S. Liu, S. Ma, J. Wu, E. Li, and S. Han, "Super-Resolution Imaging Based on Spectral Dimensional Information," 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 CTh3C.2.

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Abstract

A method based on spectral dimensional information is proposed to realize the super-resolution imaging. Numerical simulation shows that performance with spectral constraint is better than no spectral constraint under low signal-to-noise ratio.

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