TR2017-109

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", arXiv, August 2017.
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      • @techreport{MERL_TR2017-109,
      • author = {Ma, Y. and Mansour, H. and Liu, D. and Boufounos, P.T. and Kamilov, U.},
      • title = {Accelerated Image Reconstruction for Nonlinear Diffractive Imaging},
      • institution = {MERL - Mitsubishi Electric Research Laboratories},
      • address = {Cambridge, MA 02139},
      • number = {TR2017-109},
      • month = aug,
      • year = 2017,
      • url = {http://www.merl.com/publications/TR2017-109/}
      • }
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  • Research Areas:

    Computational Sensing, Multimedia


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.