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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2013
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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. |
format | Online Article Text |
id | pubmed-3673121 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT dadkhahmohammadreza compressivesensingimagesensorshardwareimplementation AT deenmjamal compressivesensingimagesensorshardwareimplementation AT shiranishahram compressivesensingimagesensorshardwareimplementation |