Method and algorithm for efficient calibration of compressive hyperspectral imaging system based on a liquid crystal retarder

Liat Shecter, Yaniv Oiknine, Isaac August, Adrian Stern

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations

    Abstract

    Recently we presented a Compressive Sensing Miniature Ultra-spectral Imaging System (CS-MUSI)1. This system consists of a single Liquid Crystal (LC) phase retarder as a spectral modulator and a gray scale sensor array to capture a multiplexed signal of the imaged scene. By designing the LC spectral modulator in compliance with the Compressive Sensing (CS) guidelines and applying appropriate algorithms we demonstrated reconstruction of spectral (hyper/ ultra) datacubes from an order of magnitude fewer samples than taken by conventional sensors. The LC modulator is designed to have an effective width of a few tens of micrometers, therefore it is prone to imperfections and spatial nonuniformity. In this work, we present the study of this nonuniformity and present a mathematical algorithm that allows the inference of the spectral transmission over the entire cell area from only a few calibration measurements.

    Original languageEnglish
    Title of host publicationUnconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017
    EditorsRick P. Millane, Jean J. Dolne
    PublisherSPIE
    ISBN (Electronic)9781510612778
    DOIs
    StatePublished - 1 Jan 2017
    EventUnconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017 - San Diego, United States
    Duration: 9 Aug 201710 Aug 2017

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume10410
    ISSN (Print)0277-786X
    ISSN (Electronic)1996-756X

    Conference

    ConferenceUnconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017
    Country/TerritoryUnited States
    CitySan Diego
    Period9/08/1710/08/17

    Keywords

    • Calibration
    • Compressed Sensing
    • Hyperspectral Imaging
    • Liquid Crystal

    ASJC Scopus subject areas

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

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