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      Compressive Sensing Image Sensors-Hardware Implementation

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          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.

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          Compressed sensing

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            The restricted isometry property and its implications for compressed sensing

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              Decoding by Linear Programming

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                Sensors (Basel, Switzerland)
                Molecular Diversity Preservation International (MDPI)
                1424-8220
                April 2013
                12 April 2013
                : 13
                : 4
                : 4961-4978
                Affiliations
                Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4K1, Canada; E-Mails: dadkham@ 123456mcmaster.ca (M.D.); shirani@ 123456mcmaster.ca (S.S.)
                Author notes
                [* ] Author to whom correspondence should be addressed; E-Mail: jamal@ 123456mcmaster.ca .
                Article
                sensors-13-04961
                10.3390/s130404961
                3673121
                23584123
                6570f962-bc95-49ad-8984-5ce8917cb41c
                © 2013 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                : 28 January 2013
                : 27 March 2013
                : 04 April 2013
                Categories
                Review

                Biomedical engineering
                compressive sensing,image sensor,cs-cmos imager,coded exposure,multiple-camera,high frame rate,video coding

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