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Variational Phase Imaging Using the Transport-of-Intensity Equation

E. Bostan, E. Froustey, M. Nilchian, D. Sage, M. Unser

IEEE Transactions on Image Processing, vol. 25, no. 2, pp. 807-817, February 2016.

We introduce a variational phase retrieval algorithm for the imaging of transparent objects. Our formalism is based on the transport-of-intensity equation (TIE), which relates the phase of an optical field to the variation of its intensity along the direction of propagation. TIE practically requires one to record a set of defocus images to measure the variation of intensity. We first investigate the effect of the defocus distance on the retrieved phase map. Based on our analysis, we propose a weighted phase reconstruction algorithm yielding a phase map that minimizes a convex functional. The method is nonlinear and combines different ranges of spatial frequencies—depending on the defocus value of the measurements—in a regularized fashion. The minimization task is solved iteratively via the alternating-direction method of multipliers. Our simulations outperform commonly used linear and nonlinear TIE solvers. We also illustrate and validate our method on real microscopy data of HeLa cells.

AUTHOR="Bostan, E. and Froustey, E. and Nilchian, M. and Sage, D. and
        Unser, M.",
TITLE="Variational Phase Imaging Using the Transport-of-Intensity
JOURNAL="{IEEE} Transactions on Image Processing",

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