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 periodAdditional details
Identifiers
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