Reconstruction from periodic nonlinearities, with applications to HDR imaging

Viraj Shah, Mohammadreza Soltani, Chinmay Hegde

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

    Abstract

    We consider the problem of reconstructing signals and images from periodic nonlinearities. For such problems, we design a measurement scheme that supports efficient reconstruction; moreover, our method can be adapted to extend to compressive sensing-based signal and image acquisition systems. Our techniques can be potentially useful for reducing the measurement complexity of high dynamic range (HDR) imaging systems, with little loss in reconstruction quality. Several numerical experiments on real data demonstrate the effectiveness of our approach.

    Original languageEnglish (US)
    Title of host publicationConference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
    EditorsMichael B. Matthews
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages863-867
    Number of pages5
    ISBN (Electronic)9781538618233
    DOIs
    StatePublished - Apr 10 2018
    Event51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 - Pacific Grove, United States
    Duration: Oct 29 2017Nov 1 2017

    Publication series

    NameConference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
    Volume2017-October

    Other

    Other51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
    CountryUnited States
    CityPacific Grove
    Period10/29/1711/1/17

    ASJC Scopus subject areas

    • Control and Optimization
    • Computer Networks and Communications
    • Hardware and Architecture
    • Signal Processing
    • Biomedical Engineering
    • Instrumentation

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  • Cite this

    Shah, V., Soltani, M., & Hegde, C. (2018). Reconstruction from periodic nonlinearities, with applications to HDR imaging. In M. B. Matthews (Ed.), Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 (pp. 863-867). (Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017; Vol. 2017-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACSSC.2017.8335471