@inproceedings{7d51fc524ceb4b5b82a69d278fc6d17a,
title = "Method and algorithm for efficient calibration of compressive hyperspectral imaging system based on a liquid crystal retarder",
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.",
keywords = "Calibration, Compressed Sensing, Hyperspectral Imaging, Liquid Crystal",
author = "Liat Shecter and Yaniv Oiknine and Isaac August and Adrian Stern",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017 ; Conference date: 09-08-2017 Through 10-08-2017",
year = "2017",
month = jan,
day = "1",
doi = "10.1117/12.2278186",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Millane, {Rick P.} and Dolne, {Jean J.}",
booktitle = "Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017",
address = "United States",
}