The DUDE framework for continuous tone images denoising
Resumen:
This paper discusses the challenges of applying the DUDE framework to continuous tone images and the tools used to address these challenges. As in lossless image compression, a key component of the DUDE framework is the determination of a probability distribution for samples of the input (noisy) image, conditioned on their contexts. Thus, we can leverage from tools developed and tested in the context of lossless compression for determining such distributions, together with tools that are specific to the assumptions of the denoising application. These tools combine with the DUDE principles into a framework that yields powerful and practical denoisers for continuous tone images corrupted by a variety of noise processes.
| 2005 | |
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Image denoising Image coding Data compression |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/21192 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
| _version_ | 1807522893624508416 |
|---|---|
| author | Motta, G |
| author2 | Ordentlich, E Ramírez Paulino, Ignacio Seroussi, Gadiel Weinberger, Marcelo |
| author2_role | author author author author |
| author_facet | Motta, G Ordentlich, E Ramírez Paulino, Ignacio Seroussi, Gadiel Weinberger, Marcelo |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Motta, G Ordentlich, E Ramírez Paulino, Ignacio Seroussi, Gadiel Weinberger, Marcelo |
| dc.date.accessioned.none.fl_str_mv | 2019-07-03T16:35:57Z |
| dc.date.available.none.fl_str_mv | 2019-07-03T16:35:57Z |
| dc.date.issued.es.fl_str_mv | 2005 |
| dc.date.submitted.es.fl_str_mv | 20190703 |
| dc.description.abstract.none.fl_txt_mv | This paper discusses the challenges of applying the DUDE framework to continuous tone images and the tools used to address these challenges. As in lossless image compression, a key component of the DUDE framework is the determination of a probability distribution for samples of the input (noisy) image, conditioned on their contexts. Thus, we can leverage from tools developed and tested in the context of lossless compression for determining such distributions, together with tools that are specific to the assumptions of the denoising application. These tools combine with the DUDE principles into a framework that yields powerful and practical denoisers for continuous tone images corrupted by a variety of noise processes. |
| dc.description.es.fl_txt_mv | Trabajo presentado en IEEE International Conference on Image Processing, ICIP 2005. |
| dc.identifier.citation.es.fl_str_mv | Motta, G., Ordentlich, E., Ramírez Pino, Ignacio, Seroussi, Gadiel, Weinberger, M. The DUDE framework for continuous tone images denoising [Preprint] Publicado en Proceedings of the IEEE International Conference on Image Processing. ICIP 2005. doi 10.1109/ICIP.2005.1530399 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/21192 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Image denoising Image coding Data compression |
| dc.title.none.fl_str_mv | The DUDE framework for continuous tone images denoising |
| dc.type.es.fl_str_mv | Preprint |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/preprint |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/submittedVersion |
| description | Trabajo presentado en IEEE International Conference on Image Processing, ICIP 2005. |
| eu_rights_str_mv | openAccess |
| format | preprint |
| id | COLIBRI_c1a4d61fe68eb55964e2d3e47240d768 |
| identifier_str_mv | Motta, G., Ordentlich, E., Ramírez Pino, Ignacio, Seroussi, Gadiel, Weinberger, M. The DUDE framework for continuous tone images denoising [Preprint] Publicado en Proceedings of the IEEE International Conference on Image Processing. ICIP 2005. doi 10.1109/ICIP.2005.1530399 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/21192 |
| publishDate | 2005 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
| spelling | 2019-07-03T16:35:57Z2019-07-03T16:35:57Z200520190703Motta, G., Ordentlich, E., Ramírez Pino, Ignacio, Seroussi, Gadiel, Weinberger, M. The DUDE framework for continuous tone images denoising [Preprint] Publicado en Proceedings of the IEEE International Conference on Image Processing. ICIP 2005. doi 10.1109/ICIP.2005.1530399https://hdl.handle.net/20.500.12008/21192Trabajo presentado en IEEE International Conference on Image Processing, ICIP 2005.This paper discusses the challenges of applying the DUDE framework to continuous tone images and the tools used to address these challenges. As in lossless image compression, a key component of the DUDE framework is the determination of a probability distribution for samples of the input (noisy) image, conditioned on their contexts. Thus, we can leverage from tools developed and tested in the context of lossless compression for determining such distributions, together with tools that are specific to the assumptions of the denoising application. These tools combine with the DUDE principles into a framework that yields powerful and practical denoisers for continuous tone images corrupted by a variety of noise processes.Made available in DSpace on 2019-07-03T16:35:57Z (GMT). No. of bitstreams: 5 dude-icip05.pdf: 567703 bytes, checksum: 14bd27ad3d6d6224bcc0bde17758d8a3 (MD5) license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license.txt: 4267 bytes, checksum: 6429389a7df7277b72b7924fdc7d47a9 (MD5) Previous issue date: 2005enengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)Image denoisingImage codingData compressionThe DUDE framework for continuous tone images denoisingPreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaMotta, GOrdentlich, ERamírez Paulino, IgnacioSeroussi, GadielWeinberger, 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- Universidad de la Repúblicafalse |
| spellingShingle | The DUDE framework for continuous tone images denoising Motta, G Image denoising Image coding Data compression |
| status_str | submittedVersion |
| title | The DUDE framework for continuous tone images denoising |
| title_full | The DUDE framework for continuous tone images denoising |
| title_fullStr | The DUDE framework for continuous tone images denoising |
| title_full_unstemmed | The DUDE framework for continuous tone images denoising |
| title_short | The DUDE framework for continuous tone images denoising |
| title_sort | The DUDE framework for continuous tone images denoising |
| topic | Image denoising Image coding Data compression |
| url | https://hdl.handle.net/20.500.12008/21192 |
