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Compressive Sensing Image Sensors-Hardware Implementation
Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4K1, Canada
* Author to whom correspondence should be addressed.
Received: 28 January 2013; in revised form: 27 March 2013 / Accepted: 4 April 2013 / Published: 12 April 2013
Abstract: The compressive sensing (CS) paradigm uses simultaneous sensing and compression to provide an efficient image acquisition technique. The main advantages of the CS method include high resolution imaging using low resolution sensor arrays and faster image acquisition. Since the imaging philosophy in CS imagers is different from conventional imaging systems, new physical structures have been developed for cameras that use the CS technique. In this paper, a review of different hardware implementations of CS encoding in optical and electrical domains is presented. Considering the recent advances in CMOS (complementary metal–oxide–semiconductor) technologies and the feasibility of performing on-chip signal processing, important practical issues in the implementation of CS in CMOS sensors are emphasized. In addition, the CS coding for video capture is discussed.
Keywords: compressive sensing; image sensor; CS-CMOS imager; coded exposure; multiple-camera; high frame rate; video coding
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Cite This Article
MDPI and ACS Style
Dadkhah, M.; Deen, M.J.; Shirani, S. Compressive Sensing Image Sensors-Hardware Implementation. Sensors 2013, 13, 4961-4978.
Dadkhah M, Deen MJ, Shirani S. Compressive Sensing Image Sensors-Hardware Implementation. Sensors. 2013; 13(4):4961-4978.
Dadkhah, Mohammadreza; Deen, M. J.; Shirani, Shahram. 2013. "Compressive Sensing Image Sensors-Hardware Implementation." Sensors 13, no. 4: 4961-4978.