Published 2019 | Version v1
Journal article

Blind Ptychographic Phase Retrieval via Convergent Alternating Direction Method of Multipliers

  • 1. Tianjin Normal University, Tianjin (China)
  • 2. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Description

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.

Availability note (English)

Available from https://www.osti.gov/servlets/purl/1563992; https://www.osti.gov/biblio/1563992; DOE Accepted Manuscript full text, or the publishers Best Available Version will be available free of charge after the embargo period

Additional details

Publishing Information

Journal Title
SIAM Journal on Imaging Sciences
Journal Volume
12
Journal Issue
1
Journal Page Range
p. 153-185
ISSN
1936-4954

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
52110883
Subject category
S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Descriptors DEI
CONVERGENCE; LEAST SQUARE FIT; NONLINEAR PROBLEMS; X RADIATION
Descriptors DEC
ELECTROMAGNETIC RADIATION; IONIZING RADIATIONS; MATHEMATICAL SOLUTIONS; MAXIMUM-LIKELIHOOD FIT; NUMERICAL SOLUTION; RADIATIONS

Optional Information

Contract/Grant/Project number
AC02-05CH11231
Funding organization
USDOE Office of Science - SC (United States)
Secondary number(s)
OSTIID--1563992