2D phaseless super-resolution

Myung (Michael) Cho, Christos Thramboulidis, Babak Hassibi, Weiyu Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In phaseless super-resolution, we only have the magnitude information of continuously-parameterized signals in a transform domain, and try to recover the original signals from these magnitude measurements. Optical microscopy is one application where the phaseless super-resolution for 2D signals arise. In this paper, we propose algorithms for performing phaseless super-resolution for 2D or higher-dimensional signals, and investigate their performance guarantees.

Original languageEnglish (US)
Title of host publicationWavelets and Sparsity XVII
EditorsYue M. Lu, Dimitri Van De Ville, Dimitri Van De Ville, Manos Papadakis
PublisherSPIE
ISBN (Electronic)9781510612457
DOIs
Publication statusPublished - Jan 1 2017
EventWavelets and Sparsity XVII 2017 - San Diego, United States
Duration: Aug 6 2017Aug 9 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10394
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceWavelets and Sparsity XVII 2017
CountryUnited States
CitySan Diego
Period8/6/178/9/17

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All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Cho, M. M., Thramboulidis, C., Hassibi, B., & Xu, W. (2017). 2D phaseless super-resolution. In Y. M. Lu, D. Van De Ville, D. Van De Ville, & M. Papadakis (Eds.), Wavelets and Sparsity XVII [103941H] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10394). SPIE. https://doi.org/10.1117/12.2275409