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ABSTRACT CODED MEASUREMENT FOR IMAGING AND SPECTROSCOPY (2009)
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BibTeX
@MISC{Portnoy09abstractcoded,
author = {Andrew David Portnoy and David J. Brady and Jungsang Kim and David Smith and Xiaobai Sun and Rebecca Willett and Andrew David Portnoy and David J. Brady and Jungsang Kim and David Smith and Xiaobai Sun and Rebecca Willett},
title = {ABSTRACT CODED MEASUREMENT FOR IMAGING AND SPECTROSCOPY},
year = {2009}
}
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Abstract
This thesis describes three computational optical systems and their underlying coding strategies. These codes are useful in a variety of optical imaging and spectroscopic applications. Two multichannel cameras are described. They both use a lenslet array to generate multiple copies of a scene on the detector. Digital processing combines the measured data into a single image. The visible system uses focal plane coding, and the long wave infrared (LWIR) system uses shift coding. With proper calibration, the multichannel interpolation results recover contrast for targets at frequencies beyond the aliasing limit of the individual subimages. This theses also describes a LWIR imaging system that simultaneously measures four wavelength channels each with narrow bandwidth. In this system, lenses, aperture masks, and dispersive optics implement a spatially varying spectral code. iv Acknowledgements The PhD process takes persistence. This has been a long journey, one that I have not
Keyphrases
abstract coded measurement imaging spectroscopy visible system proper calibration long journey lenslet array narrow bandwidth single image iv acknowledgement long wave optical imaging individual subimages dispersive optic multiple copy phd process wavelength channel spectral code digital processing computational optical system multichannel camera underlying coding strategy focal plane coding aperture mask lwir imaging system multichannel interpolation result spectroscopic application
