On the generation of high dynamic range images: theory and practice from a statistical perspective
This dissertation studies the problem of high dynamic range (HDR) image generation from a statistical perspective. A thorough analysis of the camera acquisition process leads to a simplified yet realistic statistical model describing raw pixel values. The analysis and methods then proposed are based...
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| 主要作者: | |
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| 格式: | doctoralThesis |
| 語言: | 英语 |
| 出版: |
2014
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| 主題: | |
| 在線閱讀: | http://hdl.handle.net/20.500.12008/2857 |
| 標簽: |
沒有標簽, 成為第一個標記此記錄!
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| _version_ | 1868890046820515840 |
|---|---|
| author | Aguerrebere, Cecilia |
| author_browse | Aguerrebere, Cecilia |
| author_facet | Aguerrebere, Cecilia |
| author_role | author |
| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Aguerrebere, Cecilia |
| dc.date.none.fl_str_mv | 2014-11-24T22:21:03Z 2014-11-24T22:21:03Z 2014 20141202 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | AGUERREBERE, C. "On the generation of high dynamic range images: theory and practice from a statistical perspective". Tesis de doctorado. Paris : Télécom ParisTech; Udelar, 2014. http://hdl.handle.net/20.500.12008/2857 |
| dc.language.none.fl_str_mv | en eng |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0) |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.none.fl_str_mv | Procesamiento de Señales |
| dc.title.none.fl_str_mv | On the generation of high dynamic range images: theory and practice from a statistical perspective |
| dc.type.none.fl_str_mv | Tesis de doctorado info:eu-repo/semantics/doctoralThesis info:eu-repo/semantics/acceptedVersion |
| description | This dissertation studies the problem of high dynamic range (HDR) image generation from a statistical perspective. A thorough analysis of the camera acquisition process leads to a simplified yet realistic statistical model describing raw pixel values. The analysis and methods then proposed are based on this model. First, the theoretical performance bound of the problem is computed for the static case, where the acquisition conditions are controlled. Furthermore, a new method is proposed that, unlike previous methods, improves the reconstructed HDR image by taking into account the information carried by saturated samples. From a more practical perspective, two methods are proposed to generate HDR images in the more realistic and complex case where both objects and camera may exhibit motion. The first one is a multi-image, patch-based method, that simultaneously estimates and denoises the HDR image. The other is a single image approach that makes use of a general restoration method to generate the HDR image. This general restoration method, applicable to a wide range of problems, constitutes the last contribution of this dissertation. |
| eu_rights_str_mv | openAccess |
| format | doctoralThesis |
| id | anni_4f67ea32908a54c7dcd27fd57eda1ded |
| identifier_str_mv | AGUERREBERE, C. "On the generation of high dynamic range images: theory and practice from a statistical perspective". Tesis de doctorado. Paris : Télécom ParisTech; Udelar, 2014. |
| 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 | anni |
| network_name_str | oai-lr-anni |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/2857 |
| publishDate | 2014 |
| publishDateSort | 2014 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0) |
| spelling | On the generation of high dynamic range images: theory and practice from a statistical perspectiveAguerrebere, CeciliaProcesamiento de SeñalesThis dissertation studies the problem of high dynamic range (HDR) image generation from a statistical perspective. A thorough analysis of the camera acquisition process leads to a simplified yet realistic statistical model describing raw pixel values. The analysis and methods then proposed are based on this model. First, the theoretical performance bound of the problem is computed for the static case, where the acquisition conditions are controlled. Furthermore, a new method is proposed that, unlike previous methods, improves the reconstructed HDR image by taking into account the information carried by saturated samples. From a more practical perspective, two methods are proposed to generate HDR images in the more realistic and complex case where both objects and camera may exhibit motion. The first one is a multi-image, patch-based method, that simultaneously estimates and denoises the HDR image. The other is a single image approach that makes use of a general restoration method to generate the HDR image. This general restoration method, applicable to a wide range of problems, constitutes the last contribution of this dissertation.2014-11-24T22:21:03Z2014-11-24T22:21:03Z201420141202Tesis de doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionapplication/pdfAGUERREBERE, C. "On the generation of high dynamic range images: theory and practice from a statistical perspective". Tesis de doctorado. Paris : Télécom ParisTech; Udelar, 2014.http://hdl.handle.net/20.500.12008/2857reponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaenengLas 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 4.0)oai:colibri.udelar.edu.uy:20.500.12008/28572026-04-14T10:27:39Z |
| spellingShingle | On the generation of high dynamic range images: theory and practice from a statistical perspective Aguerrebere, Cecilia Procesamiento de Señales |
| status_str | acceptedVersion |
| title | On the generation of high dynamic range images: theory and practice from a statistical perspective |
| title_full | On the generation of high dynamic range images: theory and practice from a statistical perspective |
| title_fullStr | On the generation of high dynamic range images: theory and practice from a statistical perspective |
| title_full_unstemmed | On the generation of high dynamic range images: theory and practice from a statistical perspective |
| title_short | On the generation of high dynamic range images: theory and practice from a statistical perspective |
| title_sort | On the generation of high dynamic range images: theory and practice from a statistical perspective |
| topic | Procesamiento de Señales |
| url | http://hdl.handle.net/20.500.12008/2857 |