Abstract
This paper presents an optimization-based method for phase extraction
from interferograms corrupted with noise, rapid phase variations, and
localized amplitude fluctuations. In the proposed method, the phase
retrieval problem is addresed by modeling a cost function using
non-convex non-smooth total generalized variational regularization.
Further, the surrogate principle is used to transform the cost
function into convex form for convenient optimization framework.
Simulation results demonstrate the performance of the method. We also
show the experimental utility of the proposed method for onion cell
imaging using digital holographic microscopy.
© 2021 Optical Society of
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