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

doi:10.1117/12.2278186

6 September 2017 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

Author Affiliations +

Proceedings Volume 10410, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017; 104100C (2017) https://doi.org/10.1117/12.2278186
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

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.

Conference Presentation

Citation Download Citation

Liat Shecter, Yaniv Oiknine, Isaac August, and Adrian Stern "Method and algorithm for efficient calibration of compressive hyperspectral imaging system based on a liquid crystal retarder", Proc. SPIE 10410, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017, 104100C (6 September 2017); https://doi.org/10.1117/12.2278186

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