The plug-and-play priors (PnP) framework has been recently shown to achieve state-of-the-art results in regularized image reconstruc- tion by leveraging a sophisticated denoiser within an iterative algo- rithm. In this paper, we propose a new online PnP algorithm for Fourier ptychographic microscopy (FPM) based on the fast iterative shrinkage/threshold algorithm (FISTA). Specifically, the proposed algorithm uses only a subset of measurements, which makes it scal- able to a large set of measurements. We validate the algorithm by showing that it can lead to significant performance gains on both simulated and experimental data.
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Y. Sun, Shiqi Xu, Yunzhe Li, Lei Tian, B. Wohlberg, and U. S. Kamilov, “Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm,” Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP 2019) (Brighton, UK, May 12-17), in press.