Literature DB >> 24216811

Super-resolution compressive imaging with anamorphic optics.

Vladimir Farber, Yitzhak August, Adrian Stern.   

Abstract

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.

Year:  2013        PMID: 24216811     DOI: 10.1364/OE.21.025851

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  1 in total

1.  Super-resolution CT Image Reconstruction Based on Dictionary Learning and Sparse Representation.

Authors:  Changhui Jiang; Qiyang Zhang; Rui Fan; Zhanli Hu
Journal:  Sci Rep       Date:  2018-06-11       Impact factor: 4.379

  1 in total

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