Accelerated Image Reconstruction for Nonlinear Diffractive Imaging

    •  Ma, Y., Mansour, H., Liu, D., Boufounos, P.T., Kamilov, U., "Accelerated Image Reconstruction for Nonlinear Diffractive Imaging," Tech. Rep. TR2017-109, arXiv, August 2017.
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      • @techreport{Ma2017aug,
      • author = {Ma, Yanting and Mansour, Hassan and Liu, Dehong and Boufounos, Petros T. and Kamilov, Ulugbek},
      • title = {Accelerated Image Reconstruction for Nonlinear Diffractive Imaging},
      • journal = {arXiv},
      • year = 2017,
      • month = aug,
      • url = {}
      • }
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  • Research Area:

    Computational Sensing

The problem of reconstructing an object from the measurements of the light it scatters is common in numerous imaging applications. While the most popular formulations of the problem are based on linearizing the object-light relationship, there is an increased interest in considering nonlinear formulations that can account for multiple light scattering. In this paper, we propose an image reconstruction method, called CISOR, for nonlinear diffractive imaging, based on our new variant of fast iterative shrinkage/thresholding algorithm (FISTA) and total variation (TV) regularization. We prove that CISOR reliably converges for our nonconvex optimization problem, and systematically compare our method with other state-of-the-art methods on simulated as well as experimentally measured data.