Projects per year
Abstract
We present an approach enabling the representation of complex values using intensity only fields. The method can be used for imaging with structured illumination and allows the study of new propagating physical quantities with the classical coherent or incoherent light field playing the role of hidden variable.
This approach can further be generalized to encode higher order N-dimensional vectors and ensembles of N orthogonal fields. Different orthogonal, incoherent illumination patterns (Hadamard, sinusoidal, Laguerre-Gauss) have been experimentally tested in a single-pixel detection imaging scheme in order to compare their performances in terms of obtainable resolution. We show experimentally that our encoding technique allows to reduce the required number of illuminations for a given, desired resolution.
This approach can further be generalized to encode higher order N-dimensional vectors and ensembles of N orthogonal fields. Different orthogonal, incoherent illumination patterns (Hadamard, sinusoidal, Laguerre-Gauss) have been experimentally tested in a single-pixel detection imaging scheme in order to compare their performances in terms of obtainable resolution. We show experimentally that our encoding technique allows to reduce the required number of illuminations for a given, desired resolution.
Original language | English |
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Pages (from-to) | 23186-23197 |
Journal | Optics Express |
Volume | 24 |
Issue number | 20 |
Early online date | 27 Sept 2016 |
DOIs | |
Publication status | Published - 3 Oct 2016 |
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Dive into the research topics of 'Encoding complex valued fields using intensity'. Together they form a unique fingerprint.Projects
- 2 Finished
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Single Detector Compressive Imaging: Single Detector Compressive Imaging
Mazilu, M. (PI)
1/01/16 → 31/03/17
Project: Standard
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Impact Acceleration Account: Impact Acceleration Account
Woollins, J. D. (PI)
1/10/15 → 31/03/17
Project: Standard
Datasets
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Data underpinning - Encoding complex valued fields using intensity
De Tommasi, E. (Creator), Lavanga, L. (Creator), Watson, S. (Creator) & Mazilu, M. (Creator), University of St Andrews, 10 Oct 2016
DOI: 10.17630/ac1bd5b8-b6a6-437a-9db1-979e30670261
Dataset
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