The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Compressive ghost imaging
Open accessAbstract
We describe an advanced image reconstruction algorithm for pseudothermal ghost imaging, reducing the number of measurements required for image recovery by an order of magnitude. The algorithm is based on compressed sensing, a technique that enables the reconstruction of an N-pixel image from much less than N measurements. We demonstrate the algorithm using experimental data from a pseudothermal ghost-imaging setup. The algorithm can be applied to data taken from past pseudothermal ghost-imaging experiments, improving the reconstruction’s quality.
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Cites
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
Sparse MRI: The application of compressed sensing for rapid MR imaging
Lustig, M., Donoho, D., & Pauly, J. M. (2007) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21391 · Cited by 6,952
Cited by
Experimental X-Ray Ghost Imaging
Pelliccia, D., Rack, A., Scheel, M., Cantelli, V., & Paganin, D. M. (2016) · Physical Review Letters · doi:10.1103/physrevlett.117.113902 · Cited by 367
Simultaneous real-time visible and infrared video with single-pixel detectors
Edgar, M. P., Gibson, G. M., Bowman, R. W., Sun, B., Radwell, N., Mitchell, K. J., Welsh, S. S., & Padgett, M. J. (2015) · Scientific Reports · doi:10.1038/srep10669 · Cited by 332
Estimation of many-body quantum Hamiltonians via compressive sensing
Shabani, A., Mohseni, M., Lloyd, S., Kosut, R. L., & Rabitz, H. (2011) · Physical Review A · doi:10.1103/physreva.84.012107 · Cited by 78
Metadata
- Authors
- Katz, O., Bromberg, Y., & Silberberg, Y.
- Venue
- Applied Physics Letters
- Publisher
- AIP Publishing
- Published
- 2009-09-28
- Volume
- 95
- Issue
- 13
- ISSN
- 0003-6951 (ISSN-L)
- 1077-3118
- OpenAlex
- W2076541487
- Cited by
- 1,018
- References
- 2
- FWCI
- 9.15
- Type
- journal article
- Language
- en
- Open access
- green
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