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dc.contributor.advisor Brady, David en_US
dc.contributor.author Portnoy, Andrew David en_US
dc.date.accessioned 2009-05-01T18:36:19Z
dc.date.available 2009-05-01T18:36:19Z
dc.date.issued 2009 en_US
dc.identifier.uri http://hdl.handle.net/10161/1207
dc.description Dissertation en_US
dc.description.abstract <p>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 thesis 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.</p> en_US
dc.format.extent 2863773 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject Engineering, Electronics and Electrical en_US
dc.subject Computational Imaging en_US
dc.subject Focal Plane Coding en_US
dc.subject LWIR Imaging en_US
dc.subject Multiple Aperture Imaging en_US
dc.subject Spectral Imaging en_US
dc.subject Thin Camera en_US
dc.title Coded Measurement for Imaging and Spectroscopy en_US
dc.type Dissertation en_US
dc.department Electrical and Computer Engineering en_US
duke.embargo.months 6 en_US
dc.date.accessible 2009-07-01T05:00:03Z

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