Open AccessSuper-resolution compressive imaging with anamorphic optics
Author(s) -
В. М. Фарбер,
Yitzhak August,
Adrian Stern
Publication year - 2013
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.21.025851
Subject(s) - pixel , compressed sensing , optics , image resolution , resolution (logic) , image sensor , iterative reconstruction , sub pixel resolution , image processing , computer science , physics , computer vision , artificial intelligence , image (mathematics) , digital image processing
A new imaging technique that combines compressive sensing and super-resolution techniques is presented. Compressive sensing is accomplished by capturing optically a set of Radon projections. Super-resolution measurements are simply taken by introducing a slanted two-dimensional array in the optical system. The goal of the technique is to overcome resolution limitation that occurs in imaging scenarios where dense pixels sensors with large number of pixels are not available or cannot be used. With the presented imaging technique, owing to the compressive sensing approach, we were able to reconstruct images with significantly more number of pixels than measured, and owing to the super-resolution design we have been able to achieve resolution significantly beyond that limited by the sensor's pixels size.