Accelerating Monte Carlo Renderers by Ray Histogram Fusion
Resumen:
This paper details the recently introduced Ray Histogram Fusion (RHF) filter for accelerating Monte Carlo renderers [M. Delbracio et al., Boosting Monte Carlo Rendering by Ray Histogram Fusion, ACM Transactions on Graphics, 33 (2014)]. In this filter, each pixel in the image is characterized by the colors of the rays that reach its surface. Pixels are compared using a statistical distance on the associated ray color distributions. Based on this distance, it decides whether two pixels can share their rays or not. The RHF filter is consistent: as the number of samples increases, more evidence is required to average two pixels. The algorithm provides a significant gain in PSNR, or equivalently accelerates the rendering process by using many fewer Monte Carlo samples without observable bias. Since the RHF filter depends only on the Monte Carlo samples color values, it can be naturally combined with all rendering effects.
2015 | |
Rendering Monte Carlo path tracing Non local ltering Procesamiento de Señales |
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Inglés | |
Universidad de la República | |
COLIBRI | |
https://hdl.handle.net/20.500.12008/42651
http://dx.doi.org/10.5201/ipol.2015.119 |
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Acceso abierto | |
Licencia Creative Commons Atribución - No Comercial - Compartir Igual (CC - By-NC-SA 4.0) |
_version_ | 1807522940253634560 |
---|---|
author | Delbracio, Mauricio |
author2 | Musé, Pablo Buades, Antoni Morel, Jean-Michel |
author2_role | author author author |
author_facet | Delbracio, Mauricio Musé, Pablo Buades, Antoni Morel, Jean-Michel |
author_role | author |
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collection | COLIBRI |
dc.creator.none.fl_str_mv | Delbracio, Mauricio Musé, Pablo Buades, Antoni Morel, Jean-Michel |
dc.date.accessioned.none.fl_str_mv | 2024-02-26T19:52:27Z |
dc.date.available.none.fl_str_mv | 2024-02-26T19:52:27Z |
dc.date.issued.es.fl_str_mv | 2015 |
dc.date.submitted.es.fl_str_mv | 20240223 |
dc.description.abstract.none.fl_txt_mv | This paper details the recently introduced Ray Histogram Fusion (RHF) filter for accelerating Monte Carlo renderers [M. Delbracio et al., Boosting Monte Carlo Rendering by Ray Histogram Fusion, ACM Transactions on Graphics, 33 (2014)]. In this filter, each pixel in the image is characterized by the colors of the rays that reach its surface. Pixels are compared using a statistical distance on the associated ray color distributions. Based on this distance, it decides whether two pixels can share their rays or not. The RHF filter is consistent: as the number of samples increases, more evidence is required to average two pixels. The algorithm provides a significant gain in PSNR, or equivalently accelerates the rendering process by using many fewer Monte Carlo samples without observable bias. Since the RHF filter depends only on the Monte Carlo samples color values, it can be naturally combined with all rendering effects. |
dc.identifier.citation.es.fl_str_mv | Delbracio, M, Musé, P, Buades, A, Morel, J.M. "Accelerating Monte Carlo Renderers by Ray Histogram Fusion" Image Processing On Line, 5 (2015), pp. 55{72. http://dx.doi.org/10.5201/ipol.2015.119 |
dc.identifier.doi.es.fl_str_mv | http://dx.doi.org/10.5201/ipol.2015.119 |
dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/42651 |
dc.language.iso.none.fl_str_mv | en eng |
dc.publisher.es.fl_str_mv | IPOL |
dc.relation.ispartof.es.fl_str_mv | Image Processing On Line, 5 (2015) |
dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Compartir Igual (CC - By-NC-SA 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.subject.es.fl_str_mv | Rendering Monte Carlo path tracing Non local ltering |
dc.subject.other.es.fl_str_mv | Procesamiento de Señales |
dc.title.none.fl_str_mv | Accelerating Monte Carlo Renderers by Ray Histogram Fusion |
dc.type.es.fl_str_mv | Artículo |
dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
description | This paper details the recently introduced Ray Histogram Fusion (RHF) filter for accelerating Monte Carlo renderers [M. Delbracio et al., Boosting Monte Carlo Rendering by Ray Histogram Fusion, ACM Transactions on Graphics, 33 (2014)]. In this filter, each pixel in the image is characterized by the colors of the rays that reach its surface. Pixels are compared using a statistical distance on the associated ray color distributions. Based on this distance, it decides whether two pixels can share their rays or not. The RHF filter is consistent: as the number of samples increases, more evidence is required to average two pixels. The algorithm provides a significant gain in PSNR, or equivalently accelerates the rendering process by using many fewer Monte Carlo samples without observable bias. Since the RHF filter depends only on the Monte Carlo samples color values, it can be naturally combined with all rendering effects. |
eu_rights_str_mv | openAccess |
format | article |
id | COLIBRI_3f9390c7c39ba068c2b35b4e2cf44222 |
identifier_str_mv | Delbracio, M, Musé, P, Buades, A, Morel, J.M. "Accelerating Monte Carlo Renderers by Ray Histogram Fusion" Image Processing On Line, 5 (2015), pp. 55{72. http://dx.doi.org/10.5201/ipol.2015.119 |
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:20.500.12008/42651 |
publishDate | 2015 |
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 - Compartir Igual (CC - By-NC-SA 4.0) |
spelling | 2024-02-26T19:52:27Z2024-02-26T19:52:27Z201520240223Delbracio, M, Musé, P, Buades, A, Morel, J.M. "Accelerating Monte Carlo Renderers by Ray Histogram Fusion" Image Processing On Line, 5 (2015), pp. 55{72. http://dx.doi.org/10.5201/ipol.2015.119https://hdl.handle.net/20.500.12008/42651http://dx.doi.org/10.5201/ipol.2015.119This paper details the recently introduced Ray Histogram Fusion (RHF) filter for accelerating Monte Carlo renderers [M. Delbracio et al., Boosting Monte Carlo Rendering by Ray Histogram Fusion, ACM Transactions on Graphics, 33 (2014)]. In this filter, each pixel in the image is characterized by the colors of the rays that reach its surface. Pixels are compared using a statistical distance on the associated ray color distributions. Based on this distance, it decides whether two pixels can share their rays or not. The RHF filter is consistent: as the number of samples increases, more evidence is required to average two pixels. The algorithm provides a significant gain in PSNR, or equivalently accelerates the rendering process by using many fewer Monte Carlo samples without observable bias. Since the RHF filter depends only on the Monte Carlo samples color values, it can be naturally combined with all rendering effects.Made available in DSpace on 2024-02-26T19:52:27Z (GMT). No. of bitstreams: 5 DMBM15.pdf: 20422335 bytes, checksum: af9edcc4c0e46c43d9e4ea74e3000bd0 (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: 2015enengIPOLImage Processing On Line, 5 (2015)Las 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 - Compartir Igual (CC - By-NC-SA 4.0)RenderingMonte Carlo path tracingNon local lteringProcesamiento de SeñalesAccelerating Monte Carlo Renderers by Ray Histogram FusionArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaDelbracio, MauricioMusé, PabloBuades, AntoniMorel, Jean-MichelProcesamiento de SeñalesTratamiento de 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- Universidad de la Repúblicafalse |
spellingShingle | Accelerating Monte Carlo Renderers by Ray Histogram Fusion Delbracio, Mauricio Rendering Monte Carlo path tracing Non local ltering Procesamiento de Señales |
status_str | publishedVersion |
title | Accelerating Monte Carlo Renderers by Ray Histogram Fusion |
title_full | Accelerating Monte Carlo Renderers by Ray Histogram Fusion |
title_fullStr | Accelerating Monte Carlo Renderers by Ray Histogram Fusion |
title_full_unstemmed | Accelerating Monte Carlo Renderers by Ray Histogram Fusion |
title_short | Accelerating Monte Carlo Renderers by Ray Histogram Fusion |
title_sort | Accelerating Monte Carlo Renderers by Ray Histogram Fusion |
topic | Rendering Monte Carlo path tracing Non local ltering Procesamiento de Señales |
url | https://hdl.handle.net/20.500.12008/42651 http://dx.doi.org/10.5201/ipol.2015.119 |