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This article is part of the series Super-Resolution Enhancement of Digital Video.

Open Access Research Article

Design of Large Field-of-View High-Resolution Miniaturized Imaging System

Nilesh A Ahuja* and NK Bose

Author Affiliations

Department of Electrical Engineering, Spatial and Temporal Signal Processing Center, The Pennsylvania State University, University Park, PA 16802, USA

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EURASIP Journal on Advances in Signal Processing 2007, 2007:059546  doi:10.1155/2007/59546

The electronic version of this article is the complete one and can be found online at: http://asp.eurasipjournals.com/content/2007/1/059546

Received:29 September 2006
Revisions received:7 February 2007
Accepted:16 April 2007
Published:2 July 2007

© 2007 Ahuja and Bose

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Steps are taken to design the optical system of lenslet array/photoreceptor array plexus on curved surfaces to achieve a large field of view (FOV) with each lenslet capturing a portion of the scene. An optimal sampling rate in the image plane, as determined by the pixel pitch, is found by the use of an information theoretic performance measure. Since this rate turns out to be sub-Nyquist, superresolution techniques can be applied to the multiple low-resolution (LR) images captured on the photoreceptor array to yield a single high-resolution (HR) image of an object of interest. Thus, the computational imaging system proposed is capable of realizing both the specified resolution and specified FOV.


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