Sub-Diffraction Imaging Using Fourier Ptychography and Structured Sparsity

Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani

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

    Abstract

    We consider the problem of super-resolution for sub-diffraction imaging. We adapt conventional Fourier ptychographic approaches, for the case where the images to be acquired have an underlying structured sparsity. We propose some sub-sampling strategies which can be easily adapted to existing ptychographic setups. We then use a novel technique called CoPRAM with some modifications, to recover sparse (and block sparse) images from sub-sampled pty-chographic measurements. We demonstrate experimentally that this algorithm performs better than existing phase retrieval techniques, in terms of quality of reconstruction, using fewer number of samples.

    Original languageEnglish (US)
    Title of host publication2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages6493-6497
    Number of pages5
    ISBN (Print)9781538646588
    DOIs
    StatePublished - Sep 10 2018
    Event2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, Canada
    Duration: Apr 15 2018Apr 20 2018

    Publication series

    NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    Volume2018-April
    ISSN (Print)1520-6149

    Other

    Other2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
    CountryCanada
    CityCalgary
    Period4/15/184/20/18

    Keywords

    • Nonconvex algorithms
    • Phase retrieval
    • Ptychography
    • Sparsity

    ASJC Scopus subject areas

    • Software
    • Signal Processing
    • Electrical and Electronic Engineering

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