Achieving the ultimate limit of two point resolution by computational imaging

Ronan Kerviche, Saikat Guha, Amit Ashok

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The smallest estimable separation of two incoherent monochromatic point sources is considered to be a fundamental measure of imaging resolution. We extend the fundamental limit of two-point source resolution of a Gaussian aperture to an arbitrary aperture and propose a single-mode measurement that approaches this limit in the sub-diffraction regime.

Original languageEnglish (US)
Title of host publicationComputational Optical Sensing and Imaging, COSI 2017
PublisherOSA - The Optical Society
VolumePart F46-COSI 2017
ISBN (Electronic)9781557528209
DOIs
StatePublished - 2017
EventComputational Optical Sensing and Imaging, COSI 2017 - San Francisco, United States
Duration: Jun 26 2017Jun 29 2017

Other

OtherComputational Optical Sensing and Imaging, COSI 2017
CountryUnited States
CitySan Francisco
Period6/26/176/29/17

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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  • Cite this

    Kerviche, R., Guha, S., & Ashok, A. (2017). Achieving the ultimate limit of two point resolution by computational imaging. In Computational Optical Sensing and Imaging, COSI 2017 (Vol. Part F46-COSI 2017). OSA - The Optical Society. https://doi.org/10.1364/COSI.2017.CW4B.5