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


Gundogan U., ÖKTEM S. F.

Computational Optical Sensing and Imaging, COSI 2022, Vancouver, Canada, 11 - 15 July 2022 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Vancouver
  • Country: Canada
  • Middle East Technical University Affiliated: Yes

Abstract

© 2022 The Author(s)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.