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Compressive Sensing Image Sensors-Hardware Implementation

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 C...

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Detalles Bibliográficos
Autores principales: Dadkhah, Mohammadreza, Deen, M. Jamal, Shirani, Shahram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3673121/
https://www.ncbi.nlm.nih.gov/pubmed/23584123
http://dx.doi.org/10.3390/s130404961
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author Dadkhah, Mohammadreza
Deen, M. Jamal
Shirani, Shahram
author_facet Dadkhah, Mohammadreza
Deen, M. Jamal
Shirani, Shahram
author_sort Dadkhah, Mohammadreza
collection PubMed
description 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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spelling pubmed-36731212013-06-19 Compressive Sensing Image Sensors-Hardware Implementation Dadkhah, Mohammadreza Deen, M. Jamal Shirani, Shahram Sensors (Basel) Review 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. Molecular Diversity Preservation International (MDPI) 2013-04-12 /pmc/articles/PMC3673121/ /pubmed/23584123 http://dx.doi.org/10.3390/s130404961 Text en © 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/).
spellingShingle Review
Dadkhah, Mohammadreza
Deen, M. Jamal
Shirani, Shahram
Compressive Sensing Image Sensors-Hardware Implementation
title Compressive Sensing Image Sensors-Hardware Implementation
title_full Compressive Sensing Image Sensors-Hardware Implementation
title_fullStr Compressive Sensing Image Sensors-Hardware Implementation
title_full_unstemmed Compressive Sensing Image Sensors-Hardware Implementation
title_short Compressive Sensing Image Sensors-Hardware Implementation
title_sort compressive sensing image sensors-hardware implementation
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3673121/
https://www.ncbi.nlm.nih.gov/pubmed/23584123
http://dx.doi.org/10.3390/s130404961
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