End-to-End Optimized Adversarial Deep Compressed Super-Resolution Imaging via Pattern Scanning

Kangning Zhang; Junze Zhu; Weijian Yang

doi:10.1364/COSI.2021.CM2E.6

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper CM2E.6
•https://doi.org/10.1364/COSI.2021.CM2E.6

End-to-End Optimized Adversarial Deep Compressed Super-Resolution Imaging via Pattern Scanning

Kangning Zhang, Junze Zhu, and Weijian Yang

Computational Optical Sensing and Imaging 2021

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

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Compressive Sensing I (CM2E)

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K. Zhang, J. Zhu, and W. Yang, "End-to-End Optimized Adversarial Deep Compressed Super-Resolution Imaging via Pattern Scanning," 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 CM2E.6.

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Abstract

We propose an end-to-end optimized adversarial deep compressed imaging modality. This method exploits the adversarial duality of the sensing basis and sparse representation basis in compressed sensing framework and shows solid super-resolution results.

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