Improving the Calibration of Image Sensors Based on IOFBs, Using Differential Gray-Code Space Encoding

This paper presents a fast calibration method to determine the transfer function for spatial correspondences in image transmission devices with Incoherent Optical Fiber Bundles (IOFBs), by performing a scan of the input, using differential patterns generated from a Gray code (Differential Gray-Code...

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Detalles Bibliográficos
Autores principales: Fernández, Pedro R., Galilea, José Luis Lázaro, Vicente, Alfredo Gardel, Muñoz, Ignacio Bravo, Cano García, Ángel E., Vázquez, Carlos Luna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3444088/
https://www.ncbi.nlm.nih.gov/pubmed/23012530
http://dx.doi.org/10.3390/s120709006
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author Fernández, Pedro R.
Galilea, José Luis Lázaro
Vicente, Alfredo Gardel
Muñoz, Ignacio Bravo
Cano García, Ángel E.
Vázquez, Carlos Luna
author_facet Fernández, Pedro R.
Galilea, José Luis Lázaro
Vicente, Alfredo Gardel
Muñoz, Ignacio Bravo
Cano García, Ángel E.
Vázquez, Carlos Luna
author_sort Fernández, Pedro R.
collection PubMed
description This paper presents a fast calibration method to determine the transfer function for spatial correspondences in image transmission devices with Incoherent Optical Fiber Bundles (IOFBs), by performing a scan of the input, using differential patterns generated from a Gray code (Differential Gray-Code Space Encoding, DGSE). The results demonstrate that this technique provides a noticeable reduction in processing time and better quality of the reconstructed image compared to other, previously employed techniques, such as point or fringe scanning, or even other known space encoding techniques.
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spelling pubmed-34440882012-09-25 Improving the Calibration of Image Sensors Based on IOFBs, Using Differential Gray-Code Space Encoding Fernández, Pedro R. Galilea, José Luis Lázaro Vicente, Alfredo Gardel Muñoz, Ignacio Bravo Cano García, Ángel E. Vázquez, Carlos Luna Sensors (Basel) Article This paper presents a fast calibration method to determine the transfer function for spatial correspondences in image transmission devices with Incoherent Optical Fiber Bundles (IOFBs), by performing a scan of the input, using differential patterns generated from a Gray code (Differential Gray-Code Space Encoding, DGSE). The results demonstrate that this technique provides a noticeable reduction in processing time and better quality of the reconstructed image compared to other, previously employed techniques, such as point or fringe scanning, or even other known space encoding techniques. Molecular Diversity Preservation International (MDPI) 2012-07-02 /pmc/articles/PMC3444088/ /pubmed/23012530 http://dx.doi.org/10.3390/s120709006 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.
Galilea, José Luis Lázaro
Vicente, Alfredo Gardel
Muñoz, Ignacio Bravo
Cano García, Ángel E.
Vázquez, Carlos Luna
Improving the Calibration of Image Sensors Based on IOFBs, Using Differential Gray-Code Space Encoding
title Improving the Calibration of Image Sensors Based on IOFBs, Using Differential Gray-Code Space Encoding
title_full Improving the Calibration of Image Sensors Based on IOFBs, Using Differential Gray-Code Space Encoding
title_fullStr Improving the Calibration of Image Sensors Based on IOFBs, Using Differential Gray-Code Space Encoding
title_full_unstemmed Improving the Calibration of Image Sensors Based on IOFBs, Using Differential Gray-Code Space Encoding
title_short Improving the Calibration of Image Sensors Based on IOFBs, Using Differential Gray-Code Space Encoding
title_sort improving the calibration of image sensors based on iofbs, using differential gray-code space encoding
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3444088/
https://www.ncbi.nlm.nih.gov/pubmed/23012530
http://dx.doi.org/10.3390/s120709006
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