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Proceedings Paper

Compressive coded apertures for high-resolution imaging
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Paper Abstract

Traditionally, optical sensors have been designed to collect the most directly interpretable and intuitive measurements possible. However, recent advances in the fields of image reconstruction, inverse problems, and compressed sensing indicate that substantial performance gains may be possible in many contexts via computational methods. In particular, by designing optical sensors to deliberately collect "incoherent" measurements of a scene, we can use sophisticated computational methods to infer more information about critical scene structure and content. In this paper, we explore the potential of physically realizable systems for acquiring such measurements. Specifically, we describe how given a fixed size focal plane array, compressive measurements using coded apertures combined with sophisticated optimization algorithms can significantly increase image quality and resolution.

Paper Details

Date Published: 4 May 2010
PDF: 11 pages
Proc. SPIE 7723, Optics, Photonics, and Digital Technologies for Multimedia Applications, 772304 (4 May 2010); doi: 10.1117/12.849487
Show Author Affiliations
Roummel F. Marcia, Univ. of California, Merced (United States)
Zachary T. Harmany, Duke Univ. (United States)
Rebecca M. Willett, Duke Univ. (United States)

Published in SPIE Proceedings Vol. 7723:
Optics, Photonics, and Digital Technologies for Multimedia Applications
Peter Schelkens; Touradj Ebrahimi; Gabriel Cristóbal; Frédéric Truchetet; Pasi Saarikko, Editor(s)

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