Quantum-inspired Optical Super-resolution Adaptive Imaging

Kwan Kit Lee; Saikat Guha; Amit Ashok

doi:10.1364/COSI.2021.CF4B.2

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper CF4B.2
•https://doi.org/10.1364/COSI.2021.CF4B.2

Quantum-inspired Optical Super-resolution Adaptive Imaging

Kwan Kit Lee, Saikat Guha, and Amit Ashok

Computational Optical Sensing and Imaging 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-89-7

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K. K. Lee, S. Guha, and A. Ashok, "Quantum-inspired Optical Super-resolution Adaptive Imaging," in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), H. Hua, B. Javidi, M. Martinez-Corral, O. Matoba, A. Stern, S. Thibault, T. Alieva, J. Ke, F. Willomitzer, F. Okten, P. Silveira, P. Banerjee, E. Stoykova, D. Chu, J. Park, F. Imai, C. Joo, M. Digman, D. Gardner, S. Gladysz, D. LeMaster, S. Basu, and O. Korotkova, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper CF4B.2.

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Abstract

We present an adaptive imaging scheme, inspired by quantum estimation theory, to estimate the number, brightness and locations of point sources in a constellation. Our simulation results demonstrate that the adaptive scheme outperforms traditional imaging.

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