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Title: Blind Ptychographic Phase Retrieval via Convergent Alternating Direction Method of Multipliers

Journal Article · · SIAM Journal on Imaging Sciences
DOI:https://doi.org/10.1137/18m1188446· OSTI ID:1563992

Ptychography has risen as a reference X-ray imaging technique: it achieves resolutions of one billionth of a meter, macroscopic field of view, or the capability to retrieve chemical or magnetic contrast, among other features. A ptychographic reconstruction is normally formulated as a blind phase retrieval problem, where both the image (sample) and the probe (illumination) have to be recovered from phaseless measured data. In this article we address a nonlinear least squares model for the blind ptychography problem with constraints on the image and the probe by maximum likelihood estimation of the Poisson noise model. We formulate a variant model that incorporates the information of phaseless measurements of the probe to eliminate possible artifacts. Next, we propose a generalized alternating direction method of multipliers designed for the proposed nonconvex models with convergence guarantee under mild conditions, where their subproblems can be solved by fast el-ementwise operations. Numerically, the proposed algorithm outperforms state-of-the-art algorithms in both speed and image quality.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1563992
Journal Information:
SIAM Journal on Imaging Sciences, Vol. 12, Issue 1; ISSN 1936-4954
Publisher:
Society for Industrial and Applied MathematicsCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 27 works
Citation information provided by
Web of Science

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Cited By (4)

Advanced denoising for X-ray ptychography text January 2019
Convex optimization-based blind deconvolution for images taken with coherent illumination journal January 2019
Photon-limited ptychography of 3D objects via Bayesian reconstruction journal January 2019
Advanced denoising for X-ray ptychography journal January 2019

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