DMCA
Research Article Design of Large Field-of-View High-Resolution Miniaturized Imaging System
BibTeX
@MISC{Ahuja_researcharticle,
author = {Nilesh A. Ahuja and N. K. Bose and Recommended Russell and C. Hardie},
title = {Research Article Design of Large Field-of-View High-Resolution Miniaturized Imaging System},
year = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
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. Copyright © 2007 N. A. Ahuja and N. K. 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. 1.
Keyphrases
research article design optimal sampling rate optical system creative common attribution license photoreceptor array original work pixel pitch single high-resolution unrestricted use image plane open access article superresolution technique lenslet array photoreceptor array plexus information theoretic performance measure large field curved surface computational imaging system multiple low-resolution
