Deep Learning-Based Joint Reconstruction and System Optimization for Single-Shot Compressive Spectral Imaging

2022-01-01
Gundogan, Utku
Öktem, Sevinç Figen
We develop a joint reconstruction and system optimization method for snapshot spectral imaging with diffractive lenses. The method learns the diffractive lens design parameters jointly with a 3D deep prior in an unrolled reconstruction. Results illustrate the significance of jointly optimizing the prior and design parameters.
Computational Optical Sensing and Imaging, COSI 2022

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Citation Formats
U. Gundogan and S. F. Öktem, “Deep Learning-Based Joint Reconstruction and System Optimization for Single-Shot Compressive Spectral Imaging,” presented at the Computational Optical Sensing and Imaging, COSI 2022, Vancouver, Kanada, 2022, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85139172891&origin=inward.