Beitrag zur Unterwasserbildrestauration

Underwater images are most often degraded by color shifts, blurring and brightening effects. The presented approach is based on a problem-specific physical model of under water image formation. Thereon, methods of image restoration and image data retrieval are presented, which invert image degradati...

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Autores:
Tipo de recurso:
Book
Fecha de publicación:
2017
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
ger
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/17602
Acceso en línea:
https://directory.doabooks.org/handle/20.500.12854/41925
http://hdl.handle.net/20.500.12010/17602
Palabra clave:
Data retrieval
Image enhancement
Modeling
Imágenes digitales
Imágenes tridimensionales
Ingeniería industrial
Rights
License
Abierto (Texto Completo)
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oai_identifier_str oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/17602
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dc.title.spa.fl_str_mv Beitrag zur Unterwasserbildrestauration
title Beitrag zur Unterwasserbildrestauration
spellingShingle Beitrag zur Unterwasserbildrestauration
Data retrieval
Image enhancement
Modeling
Imágenes digitales
Imágenes tridimensionales
Ingeniería industrial
title_short Beitrag zur Unterwasserbildrestauration
title_full Beitrag zur Unterwasserbildrestauration
title_fullStr Beitrag zur Unterwasserbildrestauration
title_full_unstemmed Beitrag zur Unterwasserbildrestauration
title_sort Beitrag zur Unterwasserbildrestauration
dc.subject.spa.fl_str_mv Data retrieval
Image enhancement
Modeling
topic Data retrieval
Image enhancement
Modeling
Imágenes digitales
Imágenes tridimensionales
Ingeniería industrial
dc.subject.lemb.spa.fl_str_mv Imágenes digitales
Imágenes tridimensionales
Ingeniería industrial
description Underwater images are most often degraded by color shifts, blurring and brightening effects. The presented approach is based on a problem-specific physical model of under water image formation. Thereon, methods of image restoration and image data retrieval are presented, which invert image degradation processes. Hence, it is possible to enhance image quality with model knowledge under different image acquisition conditions.
publishDate 2017
dc.date.created.none.fl_str_mv 2017
dc.date.accessioned.none.fl_str_mv 2021-02-22T20:38:24Z
dc.date.available.none.fl_str_mv 2021-02-22T20:38:24Z
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2f33
format http://purl.org/coar/resource_type/c_2f33
dc.identifier.isbn.none.fl_str_mv 9783731505792
dc.identifier.other.none.fl_str_mv https://directory.doabooks.org/handle/20.500.12854/41925
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12010/17602
dc.identifier.doi.none.fl_str_mv Imágenes tridimensionales
identifier_str_mv 9783731505792
Imágenes tridimensionales
url https://directory.doabooks.org/handle/20.500.12854/41925
http://hdl.handle.net/20.500.12010/17602
dc.language.iso.spa.fl_str_mv ger
language ger
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.local.spa.fl_str_mv Abierto (Texto Completo)
dc.rights.creativecommons.none.fl_str_mv https://creativecommons.org/licenses/by-sa/4.0/
rights_invalid_str_mv Abierto (Texto Completo)
https://creativecommons.org/licenses/by-sa/4.0/
http://purl.org/coar/access_right/c_abf2
dc.format.extent.spa.fl_str_mv XX, 210 páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv KIT Scientific Publishing
institution Universidad de Bogotá Jorge Tadeo Lozano
bitstream.url.fl_str_mv https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/17602/1/978-3-7315-0579-2.pdf
https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/17602/2/license.txt
https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/17602/3/978-3-7315-0579-2.pdf.jpg
bitstream.checksum.fl_str_mv 788265fa027ae9e35177bd8e32ef3d26
abceeb1c943c50d3343516f9dbfc110f
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bitstream.checksumAlgorithm.fl_str_mv MD5
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repository.name.fl_str_mv Repositorio Institucional - Universidad Jorge Tadeo Lozano
repository.mail.fl_str_mv expeditio@utadeo.edu.co
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spelling 2021-02-22T20:38:24Z2021-02-22T20:38:24Z20179783731505792https://directory.doabooks.org/handle/20.500.12854/41925http://hdl.handle.net/20.500.12010/17602Imágenes tridimensionalesUnderwater images are most often degraded by color shifts, blurring and brightening effects. The presented approach is based on a problem-specific physical model of under water image formation. Thereon, methods of image restoration and image data retrieval are presented, which invert image degradation processes. Hence, it is possible to enhance image quality with model knowledge under different image acquisition conditions.XX, 210 páginasapplication/pdfgerKIT Scientific PublishingData retrievalImage enhancementModelingImágenes digitalesImágenes tridimensionalesIngeniería industrialBeitrag zur UnterwasserbildrestaurationAbierto (Texto Completo)https://creativecommons.org/licenses/by-sa/4.0/http://purl.org/coar/access_right/c_abf2http://purl.org/coar/resource_type/c_2f33Stephan, ThomasORIGINAL978-3-7315-0579-2.pdf978-3-7315-0579-2.pdfVer documentoapplication/pdf23125215https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/17602/1/978-3-7315-0579-2.pdf788265fa027ae9e35177bd8e32ef3d26MD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/17602/2/license.txtabceeb1c943c50d3343516f9dbfc110fMD52open accessTHUMBNAIL978-3-7315-0579-2.pdf.jpg978-3-7315-0579-2.pdf.jpgIM Thumbnailimage/jpeg12758https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/17602/3/978-3-7315-0579-2.pdf.jpg8bfea3389a6eacc49169849eaec465ccMD53open access20.500.12010/17602oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/176022021-02-22 15:40:13.348open accessRepositorio Institucional - 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