Work

Compressive Sensing Hyperspectral Imaging by Spectral Multiplexing with Liquid Crystal

Year: 2018

Type: review

Abstract: Hyperspectral (HS) imaging involves the sensing of a scene's spectral properties, which are often redundant in nature. The redundancy of the information motivates our quest to implement Compressive Sensing (CS) theory for HS imaging. This article provides a review of the Compressive Sensing Miniature Ultra-Spectral Imaging (CS-MUSI) camera, its evolution, and its different applications. The CS-MUSI camera was designed within the CS framework and uses a liquid crystal (LC) phase retarder in order to modulate the spectral domain. The outstanding advantage of the CS-MUSI camera is that the entire HS image is captured from an order of magnitude fewer measurements of the sensor array, compared to conventional HS imaging methods.

Source: Journal of Imaging

DOI: 10.3390/jimaging5010003

Authors: Yaniv Oiknine, Isaac August, Vladimir Farber, Daniel Gedalin, Adrian Stern

Institution: Ben-Gurion University of the Negev

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,172

Funders: Ministry of Science, Technology and Space, Ben-Gurion University of the Negev