Open AccessRandomized apertures: high resolution imaging in far field
Author(s) -
Xiaopeng Peng,
Garreth Ruane,
Marco B. Quadrelli,
Grover A. Swartzlander
Publication year - 2017
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.25.018296
Subject(s) - optics , point spread function , deconvolution , speckle pattern , diffraction , computer science , speckle imaging , blind deconvolution , physics , telescope , ghost imaging , phase retrieval , binary number , fourier transform , mathematics , arithmetic , quantum mechanics
We explore opportunities afforded by an extremely large telescope design comprised of ill-figured randomly varying subapertures. The veracity of this approach is demonstrated with a laboratory scaled system whereby we reconstruct a white light binary point source separated by 2.5 times the diffraction limit. With an inherently unknown varying random point spread function, the measured speckle images require a restoration framework that combine support vector machine based lucky imaging and non-negative matrix factorization based multiframe blind deconvolution. To further validate the approach, we model the experimental system to explore sub-diffraction-limited performance, and an object comprised of multiple point sources.