Fidelity and robustness analysis of SVD-based image watermarking schemes
- Autores
- Del Colle, Franco A.; Gómez, Juan Carlos
- Año de publicación
- 2011
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- In this paper, an SVD-based perceptual fidelity metric is reviewed and used in the context of objective quantification of image watermarking fidelity for two stateof- the-art Image Adaptive SVD-based Watermarking Schemes. The proposed metric makes use of a Human Visual System perceptual model in the wavelet domain. The robustness of the watermarking schemes against JPEG compression and resizing is also tested on an image dataset of natural color images.
Presentado en el IX Workshop Computación Gráfica, Imágenes y Visualización (WCGIV)
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
Singular value decomposition - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/18697
Ver los metadatos del registro completo
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Fidelity and robustness analysis of SVD-based image watermarking schemesDel Colle, Franco A.Gómez, Juan CarlosCiencias InformáticasSingular value decompositionIn this paper, an SVD-based perceptual fidelity metric is reviewed and used in the context of objective quantification of image watermarking fidelity for two stateof- the-art Image Adaptive SVD-based Watermarking Schemes. The proposed metric makes use of a Human Visual System perceptual model in the wavelet domain. The robustness of the watermarking schemes against JPEG compression and resizing is also tested on an image dataset of natural color images.Presentado en el IX Workshop Computación Gráfica, Imágenes y Visualización (WCGIV)Red de Universidades con Carreras en Informática (RedUNCI)2011-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf424-433http://sedici.unlp.edu.ar/handle/10915/18697enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:46:14Zoai:sedici.unlp.edu.ar:10915/18697Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:46:14.687SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Fidelity and robustness analysis of SVD-based image watermarking schemes |
title |
Fidelity and robustness analysis of SVD-based image watermarking schemes |
spellingShingle |
Fidelity and robustness analysis of SVD-based image watermarking schemes Del Colle, Franco A. Ciencias Informáticas Singular value decomposition |
title_short |
Fidelity and robustness analysis of SVD-based image watermarking schemes |
title_full |
Fidelity and robustness analysis of SVD-based image watermarking schemes |
title_fullStr |
Fidelity and robustness analysis of SVD-based image watermarking schemes |
title_full_unstemmed |
Fidelity and robustness analysis of SVD-based image watermarking schemes |
title_sort |
Fidelity and robustness analysis of SVD-based image watermarking schemes |
dc.creator.none.fl_str_mv |
Del Colle, Franco A. Gómez, Juan Carlos |
author |
Del Colle, Franco A. |
author_facet |
Del Colle, Franco A. Gómez, Juan Carlos |
author_role |
author |
author2 |
Gómez, Juan Carlos |
author2_role |
author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas Singular value decomposition |
topic |
Ciencias Informáticas Singular value decomposition |
dc.description.none.fl_txt_mv |
In this paper, an SVD-based perceptual fidelity metric is reviewed and used in the context of objective quantification of image watermarking fidelity for two stateof- the-art Image Adaptive SVD-based Watermarking Schemes. The proposed metric makes use of a Human Visual System perceptual model in the wavelet domain. The robustness of the watermarking schemes against JPEG compression and resizing is also tested on an image dataset of natural color images. Presentado en el IX Workshop Computación Gráfica, Imágenes y Visualización (WCGIV) Red de Universidades con Carreras en Informática (RedUNCI) |
description |
In this paper, an SVD-based perceptual fidelity metric is reviewed and used in the context of objective quantification of image watermarking fidelity for two stateof- the-art Image Adaptive SVD-based Watermarking Schemes. The proposed metric makes use of a Human Visual System perceptual model in the wavelet domain. The robustness of the watermarking schemes against JPEG compression and resizing is also tested on an image dataset of natural color images. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-10 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/18697 |
url |
http://sedici.unlp.edu.ar/handle/10915/18697 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
dc.format.none.fl_str_mv |
application/pdf 424-433 |
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reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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