Model Corrected Low Rank Ptychography

Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani

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

    Abstract

    In this paper, we introduce a novel algorithmic framework for sub-diffractive super-resolution imaging of dynamic, time-varying targets. We extend recent works in low rank Fourier ptychographic imaging, to incorporate model-correction schemes, which correct for errors propagated due to inaccuracies in fitting an exact low rank model to the target video acquired. Through our algorithm, we are able to demonstrate superior reconstruction quality of video from phaseless Fourier ptychographic measurements, at low sample complexities, as compared to conventional ptychographic setups.

    Original languageEnglish (US)
    Title of host publication2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
    PublisherIEEE Computer Society
    Pages3988-3992
    Number of pages5
    ISBN (Electronic)9781479970612
    DOIs
    StatePublished - Aug 29 2018
    Event25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Greece
    Duration: Oct 7 2018Oct 10 2018

    Publication series

    NameProceedings - International Conference on Image Processing, ICIP
    ISSN (Print)1522-4880

    Conference

    Conference25th IEEE International Conference on Image Processing, ICIP 2018
    CountryGreece
    CityAthens
    Period10/7/1810/10/18

      Fingerprint

    Keywords

    • Fourier
    • Low-rank
    • Microscopic imaging
    • Phase retrieval
    • Ptychography

    ASJC Scopus subject areas

    • Software
    • Computer Vision and Pattern Recognition
    • Signal Processing

    Cite this

    Jagatap, G., Chen, Z., Hegde, C., & Vaswani, N. (2018). Model Corrected Low Rank Ptychography. In 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings (pp. 3988-3992). [8451403] (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2018.8451403