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: Contribution to conferencePaperpeer-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 GB
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

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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