Paper
29 February 2008 Reference beam method for source modulated Hadamard multiplexing
Author Affiliations +
Abstract
A hyperspectral imaging system is in development. The system uses spatially modulated Hadamard patterns to encode image information with implicit stray and ambient light correction and a reference beam to correct for source light changes over the spectral image capture period. In this study we test the efficacy of the corrections and the multiplex advantage for our system. The signal to noise ratio (SNR) was used to demonstrate the advantage of spatial multiplexing in the system and observe the effect of the reference beam correction. The statistical implications of the data acquisition technique, illumination source drift and correction of such drift, were derived. The reference beam correction was applied per spectrum before Hadamard decoding and alternately after decoding to all spectra in the image. The reference beam method made no fundamental change to SNR, therefore we conclude that light source drift is minimal and other possibly rectifiable error sources are dominant. The multiplex advantage was demonstrated ranging from a minimum SNR boost of 1.5 (600-975 nm) to a maximum of 11 (below 500 nm). Intermediate SNR boost was observed in 975-1700 nm. The large variation in SNR boost is also due to some other error source.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lee Streeter, G. Robert Burling-Claridge, Michael J. Cree, and Rainer Künnemeyer "Reference beam method for source modulated Hadamard multiplexing", Proc. SPIE 6816, Sensors, Cameras, and Systems for Industrial/Scientific Applications IX, 68160J (29 February 2008); https://doi.org/10.1117/12.766063
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Signal to noise ratio

Light sources

Multiplexing

Computer programming

Spectroscopy

Light

Data acquisition

Back to Top