TY - GEN
T1 - Achieving the ultimate limit of two point resolution by computational imaging
AU - Kerviche, Ronan
AU - Guha, Saikat
AU - Ashok, Amit
N1 - Publisher Copyright:
© 2016 OSA.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85026317699&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85026317699&partnerID=8YFLogxK
U2 - 10.1364/COSI.2017.CW4B.5
DO - 10.1364/COSI.2017.CW4B.5
M3 - Conference contribution
AN - SCOPUS:85026317699
SN - 9781943580293
T3 - Optics InfoBase Conference Papers
BT - Computational Optical Sensing and Imaging, COSI 2017
PB - Optica Publishing Group (formerly OSA)
T2 - Computational Optical Sensing and Imaging, COSI 2017
Y2 - 26 June 2017 through 29 June 2017
ER -