Abstract

In this paper, we present experimental results for image reconstruction, with isoplanatic phase-error correction, from single-shot digital holography data. We demonstrate the utility of using a model-based iterative reconstruction (MBIR) algorithm to jointly compute the maximum a posteriori estimates of the phase errors and the real-valued object reflectance function. Specifically, we show that the MBIR algorithm is robust to noise and phase errors over a range of conditions.

© 2017 Optical Society of America

Phase-error estimation and image reconstruction from digital-holography data using a Bayesian framework

Casey J. Pellizzari, Mark F. Spencer, and Charles A. Bouman
J. Opt. Soc. Am. A 34(9) 1659-1669 (2017)

Imaging through distributed-volume aberrations using single-shot digital holography

Casey J. Pellizzari, Mark F. Spencer, and Charles A. Bouman
J. Opt. Soc. Am. A 36(2) A20-A33 (2019)

Phase-error correction in digital holography using single-shot data

Samuel T. Thurman
J. Opt. Soc. Am. A 36(12) D47-D61 (2019)

Optically coherent image formation and denoising using a plug and play inversion framework

Casey J. Pellizzari, Russell Trahan, Hanying Zhou, Skip Williams, Stacie E. Williams, Bijan Nemati, Michael Shao, and Charles A. Bouman
Appl. Opt. 56(16) 4735-4744 (2017)

Imaging through deep turbulence using single-shot digital holography data

Cameron J. Radosevich, Casey J. Pellizzari, Samuel Horst, and Mark F. Spencer
Opt. Express 28(13) 19390-19401 (2020)