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Proceedings Paper

Thin digital imaging systems using focal plane coding
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Paper Abstract

With this work we show the use of focal plane coding to produce nondegenerate data between subapertures of an imaging system. Subaperture data is integrated to form a single high resolution image. Multiple apertures generate multiple copies of a scene on the detector plane. Placed in the image plane, the focal plane mask applies a unique code to each of these sub-images. Within each sub-image, each pixel is masked so that light from only certain optical pixels reaches the detector. Thus, each sub-image measures a different linear combination of optical pixels. Image reconstruction is achieved by inversion of the transformation performed by the imaging system. Registered detector pixels in each sub-image represent the magnitude of the projection of the same optical information onto different sampling vectors. Without a coding element, the imaging system would be limited by the spatial frequency response of the electronic detector pixel. The small mask features allow the imager to broaden this response and reconstruct higher spatial frequencies than a conventional coarsely sampling focal plane.

Paper Details

Date Published: 2 February 2006
PDF: 8 pages
Proc. SPIE 6065, Computational Imaging IV, 60650F (2 February 2006); doi: 10.1117/12.643203
Show Author Affiliations
Andrew D. Portnoy, Duke Univ. (United States)
Nikos P. Pitsianis, Duke Univ. (United States)
David J. Brady, Duke Univ. (United States)
Junpeng Guo, Univ. of Alabama in Huntsville (United States)
Michael A. Fiddy, Univ. of North Carolina at Charlotte (United States)
Michael R. Feldman, Digital Optics Corp. (United States)
Robert D. Te Kolste, Digital Optics Corp. (United States)

Published in SPIE Proceedings Vol. 6065:
Computational Imaging IV
Charles A. Bouman; Eric L. Miller; Ilya Pollak, Editor(s)

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