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A new compressive imaging camera architecture using optical-domain compression:
Abstract
Compressive Sensing is an emerging field based on the revelation that a small number of linear projections of a compressible signal contain enough information for reconstruction and processing. It has many promising implications and enables the design of new kinds of Compressive Imaging systems and cameras. In this paper, we develop a new camera architecture that employs a digital micromirror array to perform optical calculations of linear projections of an image onto pseudorandom binary patterns. Its hallmarks include the ability to obtain an image with a single detection element while sampling the image fewer times than the number of pixels. Other attractive properties include its universality, robustness, scalability, progressivity, and computational asymmetry. The most intriguing feature of the system is that, since it relies on a single photon detector, it can be adapted to image at wavelengths that are currently impossible with conventional CCD and CMOS imagers.
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Cited by
Iteratively reweighted algorithms for compressive sensing
Chartrand, R., & Yin, W. (2008) · 2008 IEEE International Conference on Acoustics, Speech and Signal Processing · doi:10.1109/icassp.2008.4518498 · Cited by 1,248
A single-pixel terahertz imaging system based on compressed sensing
Chan, W. L., Charan, K., Takhar, D., Kelly, K. F., Baraniuk, R. G., & Mittleman, D. M. (2008) · Applied Physics Letters · doi:10.1063/1.2989126 · Cited by 803
Self-citationReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements
Kulkarni, K., Lohit, S., Turaga, P., Kerviche, R., & Ashok, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.55 · Cited by 768
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
An Architecture for Compressive Imaging
Wakin, M. B., Laska, J. N., Duarte, M. F., Baron, D., Sarvotham, S., Takhar, D., Kelly, K. F., & Baraniuk, R. G. (2006) · 2006 International Conference on Image Processing · doi:10.1109/icip.2006.312577 · Cited by 323
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Metadata
- Authors
- Takhar, D., Laska, J. N., Wakin, M. B., Duarte, M. F., Baron, D., Sarvotham, S., Kelly, K. F., & Baraniuk, R. G.
- Venue
- SPIE Proceedings
- Publisher
- SPIE
- Published
- 2006-02-02
- Volume
- 6065
- Pages
- 606509-606509-10
- ISSN
- 0277-786X (ISSN-L)
- OpenAlex
- W2106993026
- Cited by
- 497
- References
- 0
- FWCI
- 70.73
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Takhar, D., Laska, J. N., Wakin, M. B., Duarte, M. F., Baron, D., Sarvotham, S., Kelly, K. F., & Baraniuk, R. G. (2006). A new compressive imaging camera architecture using optical-domain compression:. SPIE Proceedings. https://doi.org/10.1117/12.659602
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