Resolution analysis in computational imaging with patterned illumination and bucket detection

In computational imaging by pattern projection, a sequence of microstructured light patterns codified onto a programmable spatial light modulator is used to sample an object. The patterns are used as generalized measurement modes where the object information is expressed. In this Letter, we show tha...

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Published in:Optics letters 2014-07, Vol.39 (13), p.3888-3891
Main Authors: Rodríguez, A D, Clemente, P, Irles, E, Tajahuerce, E, Lancis, J
Format: Article
Language:English
Subjects:
Arrays
Computation
Detectors
Diffusers
Illumination
Imaging
Projection
Retrieval
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description In computational imaging by pattern projection, a sequence of microstructured light patterns codified onto a programmable spatial light modulator is used to sample an object. The patterns are used as generalized measurement modes where the object information is expressed. In this Letter, we show that the resolution of the recovered image is only limited by the numerical aperture of the projecting optics regardless of the quality of the collection optics. We provide proof-of-principle experiments where the single-pixel detection strategy outperforms the resolution achieved using a conventional optical array detector for optical imaging. It is advantageous in the presence of real-world conditions, such as optical aberrations and optical imperfections in between the sample and the sensor. We provide experimental verification of image retrieval even when an optical diffuser prevents imaging with a megapixel array camera.
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source Optica Publishing Group Journals
subjects Arrays
Computation
Detectors
Diffusers
Illumination
Imaging
Projection
Retrieval
title Resolution analysis in computational imaging with patterned illumination and bucket detection
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