Deep Ptych: Subsampled Fourier Ptychography Using Generative Priors

Fahad Shamshad; Farwa Abbas; Ali Ahmed

ICASSP 2019accepted0 citations

Deep Ptych: Subsampled Fourier Ptychography Using Generative Priors

Abstract

This paper proposes a novel framework to regularize the highly ill-posed and non-linear Fourier ptychography problem using generative models. We demonstrate experimentally that our proposed algorithm, Deep Ptych, outperforms the existing Fourier ptychography techniques, in terms of quality of reconstruction and robustness against noise, using far fewer samples. We further modify the proposed approach to allow the generative model to explore solutions outside the range, leading to improved performance.

BibTeX

@inproceedings{icassp2019_deepptychsubsamp,
  title = {Deep Ptych: Subsampled Fourier Ptychography Using Generative Priors},
  author = {Fahad Shamshad and Farwa Abbas and Ali Ahmed},
  booktitle = {ICASSP 2019},
  year = {2019}
}