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Differential Binary Encoding Method for Calibrating Image Sensors Based on IOFBs

Image transmission using incoherent optical fiber bundles (IOFBs) requires prior calibration to obtain the spatial in-out fiber correspondence necessary to reconstruct the image captured by the pseudo-sensor. This information is recorded in a Look-Up Table called the Reconstruction Table (RT), used...

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Detalles Bibliográficos
Autores principales: Fernández, Pedro R., Lázaro-Galilea, José Luis, Gardel, Alfredo, Espinosa, Felipe, Bravo, Ignacio, Cano, Ángel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3355404/
https://www.ncbi.nlm.nih.gov/pubmed/22666023
http://dx.doi.org/10.3390/s120404133
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author Fernández, Pedro R.
Lázaro-Galilea, José Luis
Gardel, Alfredo
Espinosa, Felipe
Bravo, Ignacio
Cano, Ángel
author_facet Fernández, Pedro R.
Lázaro-Galilea, José Luis
Gardel, Alfredo
Espinosa, Felipe
Bravo, Ignacio
Cano, Ángel
author_sort Fernández, Pedro R.
collection PubMed
description Image transmission using incoherent optical fiber bundles (IOFBs) requires prior calibration to obtain the spatial in-out fiber correspondence necessary to reconstruct the image captured by the pseudo-sensor. This information is recorded in a Look-Up Table called the Reconstruction Table (RT), used later for reordering the fiber positions and reconstructing the original image. This paper presents a very fast method based on image-scanning using spaces encoded by a weighted binary code to obtain the in-out correspondence. The results demonstrate that this technique yields a remarkable reduction in processing time and the image reconstruction quality is very good compared to previous techniques based on spot or line scanning, for example.
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spelling pubmed-33554042012-06-04 Differential Binary Encoding Method for Calibrating Image Sensors Based on IOFBs Fernández, Pedro R. Lázaro-Galilea, José Luis Gardel, Alfredo Espinosa, Felipe Bravo, Ignacio Cano, Ángel Sensors (Basel) Article Image transmission using incoherent optical fiber bundles (IOFBs) requires prior calibration to obtain the spatial in-out fiber correspondence necessary to reconstruct the image captured by the pseudo-sensor. This information is recorded in a Look-Up Table called the Reconstruction Table (RT), used later for reordering the fiber positions and reconstructing the original image. This paper presents a very fast method based on image-scanning using spaces encoded by a weighted binary code to obtain the in-out correspondence. The results demonstrate that this technique yields a remarkable reduction in processing time and the image reconstruction quality is very good compared to previous techniques based on spot or line scanning, for example. Molecular Diversity Preservation International (MDPI) 2012-03-27 /pmc/articles/PMC3355404/ /pubmed/22666023 http://dx.doi.org/10.3390/s120404133 Text en © 2012 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 Article
Fernández, Pedro R.
Lázaro-Galilea, José Luis
Gardel, Alfredo
Espinosa, Felipe
Bravo, Ignacio
Cano, Ángel
Differential Binary Encoding Method for Calibrating Image Sensors Based on IOFBs
title Differential Binary Encoding Method for Calibrating Image Sensors Based on IOFBs
title_full Differential Binary Encoding Method for Calibrating Image Sensors Based on IOFBs
title_fullStr Differential Binary Encoding Method for Calibrating Image Sensors Based on IOFBs
title_full_unstemmed Differential Binary Encoding Method for Calibrating Image Sensors Based on IOFBs
title_short Differential Binary Encoding Method for Calibrating Image Sensors Based on IOFBs
title_sort differential binary encoding method for calibrating image sensors based on iofbs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3355404/
https://www.ncbi.nlm.nih.gov/pubmed/22666023
http://dx.doi.org/10.3390/s120404133
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