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