Demonstration of single-shot digital holography using a Bayesian framework

Casey J. Pellizzari, Matthias T. Banet, Mark F. Spencer, Charles A. Bouman
2017 Optical Society of America. Journal A: Optics, Image Science, and Vision  
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.
doi:10.1364/josaa.35.000103 pmid:29328098 fatcat:5odccbrbo5htfetfpjqcq76lym