Computational imaging with a balanced detector
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Altres documents de l'autoria: Soldevila, Fernando; Clemente Pesudo, Pedro Javier; Tajahuerce, Enrique; Uribe-Patarroyo, N.; Andrés, Pedro; Lancis, Jesús
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Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
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comunitat-uji-handle3:10234/43643
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Títol
Computational imaging with a balanced detectorAutoria
Data de publicació
2016-06-29Editor
Nature PublishingISSN
2045-2322Cita bibliogràfica
SOLDEVILA, F., et al. Computational imaging with a balanced detector. Scientific Reports, 2016, vol. 6, p. 29181Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
http://www.nature.com/articles/srep29181Versió
info:eu-repo/semantics/publishedVersionResum
Single-pixel cameras allow to obtain images in a wide range of challenging scenarios, including broad regions of the electromagnetic spectrum and through scattering media. However, there still exist several drawbacks ... [+]
Single-pixel cameras allow to obtain images in a wide range of challenging scenarios, including broad regions of the electromagnetic spectrum and through scattering media. However, there still exist several drawbacks that single-pixel architectures must address, such as acquisition speed and imaging in the presence of ambient light. In this work we introduce balanced detection in combination with simultaneous complementary illumination in a single-pixel camera. This approach enables to acquire information even when the power of the parasite signal is higher than the signal itself. Furthermore, this novel detection scheme increases both the frame rate and the signal-to-noise ratio of the system. By means of a fast digital micromirror device together with a low numerical aperture collecting system, we are able to produce a live-feed video with a resolution of 64 × 64 pixels at 5 Hz. With advanced undersampling techniques, such as compressive sensing, we can acquire information at rates of 25 Hz. By using this strategy, we foresee real-time biological imaging with large area detectors in conditions where array sensors are unable to operate properly, such as infrared imaging and dealing with objects embedded in turbid media. [-]
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Scientific Reports, 2016, vol. 6Drets d'accés
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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