Boosting monte carlo rendering by ray histogram fusion
Resumen:
This article proposes a new multiscale filter accelerating Monte Carlo renderer. Each pixel in the image is characterized by the colors of the rays that reach its surface. The proposed filter uses a statistical distance to compare with each other the ray color distributions associated with different pixels, at each scale. Based on this distance, it decides whether two pixels can share their rays or not. This simple and easily reproducible algorithm provides a psnr gain of 10 to 15 decibels, or equivalently accelerates the rendering process by using 10 to 30 times fewer samples without observable bias. The algorithm is consistent, does not assume a particular noise model, and is immediately extendable to synthetic movies. Being based on the ray color values only, it can be combined with all rendering effects.
| 2014 | |
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/47008 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1877555076515495936 |
|---|---|
| author | Delbracio, Mauricio |
| author2 | Musé, Pablo Buades, Antoni Chauvier, Julien Phelps, Nicholas Morel, Jean-Michel |
| author2_role | author author author author author |
| author_facet | Delbracio, Mauricio Musé, Pablo Buades, Antoni Chauvier, Julien Phelps, Nicholas Morel, Jean-Michel |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Delbracio, Mauricio Musé, Pablo Buades, Antoni Chauvier, Julien Phelps, Nicholas Morel, Jean-Michel |
| dc.date.accessioned.none.fl_str_mv | 2024-11-13T19:24:39Z |
| dc.date.available.none.fl_str_mv | 2024-11-13T19:24:39Z |
| dc.date.issued.es.fl_str_mv | 2014 |
| dc.date.submitted.es.fl_str_mv | 20241113 |
| dc.description.abstract.none.fl_txt_mv | This article proposes a new multiscale filter accelerating Monte Carlo renderer. Each pixel in the image is characterized by the colors of the rays that reach its surface. The proposed filter uses a statistical distance to compare with each other the ray color distributions associated with different pixels, at each scale. Based on this distance, it decides whether two pixels can share their rays or not. This simple and easily reproducible algorithm provides a psnr gain of 10 to 15 decibels, or equivalently accelerates the rendering process by using 10 to 30 times fewer samples without observable bias. The algorithm is consistent, does not assume a particular noise model, and is immediately extendable to synthetic movies. Being based on the ray color values only, it can be combined with all rendering effects. |
| dc.description.es.fl_txt_mv | Trabajo publicado en ACM Transactions on Graphics (TOG), v. 33, n. 1, 2014 |
| dc.identifier.citation.es.fl_str_mv | Delbracio, M, Musé, P, Buades, A, y otros. "Boosting monte carlo rendering by ray histogram fusion" [Preprint] Publicado en: ACM Transactions on Graphics (TOG), v. 33, no. 1, 2014. https://doi.org/10.1145/2532708 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/47008 |
| 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 4.0) |
| 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.title.none.fl_str_mv | Boosting monte carlo rendering by ray histogram fusion |
| 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 publicado en ACM Transactions on Graphics (TOG), v. 33, n. 1, 2014 |
| eu_rights_str_mv | openAccess |
| format | preprint |
| id | COLIBRI_5c2916ea57c4e615cff6bb4c5389759a |
| identifier_str_mv | Delbracio, M, Musé, P, Buades, A, y otros. "Boosting monte carlo rendering by ray histogram fusion" [Preprint] Publicado en: ACM Transactions on Graphics (TOG), v. 33, no. 1, 2014. https://doi.org/10.1145/2532708 |
| 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:20.500.12008/47008 |
| publishDate | 2014 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | karina.camps@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 4.0) |
| spelling | 2024-11-13T19:24:39Z2024-11-13T19:24:39Z201420241113Delbracio, M, Musé, P, Buades, A, y otros. "Boosting monte carlo rendering by ray histogram fusion" [Preprint] Publicado en: ACM Transactions on Graphics (TOG), v. 33, no. 1, 2014. https://doi.org/10.1145/2532708https://hdl.handle.net/20.500.12008/47008Trabajo publicado en ACM Transactions on Graphics (TOG), v. 33, n. 1, 2014This article proposes a new multiscale filter accelerating Monte Carlo renderer. Each pixel in the image is characterized by the colors of the rays that reach its surface. The proposed filter uses a statistical distance to compare with each other the ray color distributions associated with different pixels, at each scale. Based on this distance, it decides whether two pixels can share their rays or not. This simple and easily reproducible algorithm provides a psnr gain of 10 to 15 decibels, or equivalently accelerates the rendering process by using 10 to 30 times fewer samples without observable bias. The algorithm is consistent, does not assume a particular noise model, and is immediately extendable to synthetic movies. Being based on the ray color values only, it can be combined with all rendering effects.Made available in DSpace on 2024-11-13T19:24:39Z (GMT). No. of bitstreams: 5 delbracioTOG2014.pdf: 51098912 bytes, checksum: bff21a51b3b48bbd7d25496a9e7231e8 (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4244 bytes, checksum: 528b6a3c8c7d0c6e28129d576e989607 (MD5) Previous issue date: 2014enengLas 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)Boosting monte carlo rendering by ray histogram fusionPreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaDelbracio, MauricioMusé, PabloBuades, AntoniChauvier, JulienPhelps, NicholasMorel, Jean-MichelProcesamiento de SeñalesTratamiento de 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- Universidad de la Repúblicafalse |
| spellingShingle | Boosting monte carlo rendering by ray histogram fusion Delbracio, Mauricio |
| status_str | submittedVersion |
| title | Boosting monte carlo rendering by ray histogram fusion |
| title_full | Boosting monte carlo rendering by ray histogram fusion |
| title_fullStr | Boosting monte carlo rendering by ray histogram fusion |
| title_full_unstemmed | Boosting monte carlo rendering by ray histogram fusion |
| title_short | Boosting monte carlo rendering by ray histogram fusion |
| title_sort | Boosting monte carlo rendering by ray histogram fusion |
| url | https://hdl.handle.net/20.500.12008/47008 |
