The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Simultaneous real-time visible and infrared video with single-pixel detectors
Open accessAbstract
Conventional cameras rely upon a pixelated sensor to provide spatial resolution. An alternative approach replaces the sensor with a pixelated transmission mask encoded with a series of binary patterns. Combining knowledge of the series of patterns and the associated filtered intensities, measured by single-pixel detectors, allows an image to be deduced through data inversion. In this work we extend the concept of a ‘single-pixel camera’ to provide continuous real-time video at 10 Hz , simultaneously in the visible and short-wave infrared, using an efficient computer algorithm. We demonstrate our camera for imaging through smoke, through a tinted screen, whilst performing compressive sampling and recovering high-resolution detail by arbitrarily controlling the pixel-binning of the masks. We anticipate real-time single-pixel video cameras to have considerable importance where pixelated sensors are limited, allowing for low-cost, non-visible imaging systems in applications such as night-vision, gas sensing and medical diagnostics.
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Cites
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Donoho, D. L. (2004) · Cited by 16,703
An Introduction To Compressive Sampling
Candes, E. J., & Wakin, M. B. (2008) · IEEE Signal Processing Magazine · doi:10.1109/msp.2007.914731 · Cited by 10,017
Single-pixel imaging via compressive sampling
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3D Computational Imaging with Single-Pixel Detectors
Sun, B., Edgar, M., Bowman, R. W., Vittert, L., Welsh, S. S., BOWMAN, A. W., & Padgett, M. J. (2013) · Science · doi:10.1126/science.1234454 · Cited by 914
Self-citationHadamard transform image coding
Pratt, W. K., Kane, J., & Andrews, H. C. (1969) · Proceedings of the IEEE · doi:10.1109/proc.1969.6869 · Cited by 657
A new compressive imaging camera architecture using optical-domain compression:
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Single-pixel infrared and visible microscope
Radwell, N., Mitchell, K. J., Gibson, G. M., Edgar, M. P., Bowman, R., & Padgett, M. J. (2014) · Optica · doi:10.1364/optica.1.000285 · Cited by 447
Self-citationCoded aperture compressive temporal imaging
Llull, P., Liao, X., Yuan, X., Yang, J., Kittle, D., Carin, L., Sapiro, G., & Brady, D. J. (2013) · Optics Express · doi:10.1364/oe.21.010526 · Cited by 444
CS-MUVI: Video compressive sensing for spatial-multiplexing cameras
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Motion-adaptive spatio-temporal regularization for accelerated dynamic MRI
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Adaptive temporal compressive sensing for video
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Cited by
Noninvasive, near-field terahertz imaging of hidden objects using a single-pixel detector
Stantchev, R. I., Sun, B., Hornett, S. M., Hobson, P. A., Gibson, G. M., Padgett, M. J., & Hendry, E. (2016) · Science Advances · doi:10.1126/sciadv.1600190 · Cited by 499
Self-citationAn introduction to ghost imaging: quantum and classical
Padgett, M. J., & Boyd, R. W. (2017) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2016.0233 · Cited by 282
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Metadata
- Authors
- Edgar, M. P., Gibson, G. M., Bowman, R. W., Sun, B., Radwell, N., Mitchell, K. J., Welsh, S. S., & Padgett, M. J.
- Venue
- Scientific Reports
- Published
- 2015-05-22
- Volume
- 5
- Issue
- 1
- Pages
- 10669-10669
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W215794665
- Cited by
- 332
- References
- 15
- FWCI
- 10.16
- Type
- journal article
- Language
- en
- Open access
- gold
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