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Sira Ferradans, Marcelo Bertalmio, Edoardo Provenzi, and Vincent Caselles, A multi-modal approach to perceptual tone mapping. JVRB - Journal of Virtual Reality and Broadcasting, 9(2012), no. 7. (urn:nbn:de:0009-6-35145)
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%0 Journal Article %T A multi-modal approach to perceptual tone mapping %A Ferradans, Sira %A Bertalmio, Marcelo %A Provenzi, Edoardo %A Caselles, Vincent %J JVRB - Journal of Virtual Reality and Broadcasting %D 2013 %V 9(2012) %N 7 %@ 1860-2037 %F ferradans2013 %X We present an improvement of TSTM, a recently proposed tone mapping operator for High Dynamic Range (HDR) images, based on a multi-modal analysis. One of the key features of TSTM is a suitable implementation of the Naka-Rushton equation that mimics the visual adaptation performed by the human visual system coherently with Weber-Fechner's law of contrast perception. In the present paper we use the Gaussian Mixture Model (GMM) in order to detect the modes of the log-scale luminance histogram of a given HDR image and then we use the information provided by GMM to properly devise a Naka-Rushton equation for each mode. Finally, we properly select the parameters in order to merge those equations into a continuous function. Tests and comparisons to show how this new method is capable of improving the performances of TSTM are provided and commented, as well as comparisons with state of the art methods. %L 004 %K Gaussian Mixture Model %K High Dynamic Range Images %K Naka Rushton Formula %K Tone Mapping %K Weber-Fechner Contrast %R 10.20385/1860-2037/9.2012.7 %U http://nbn-resolving.de/urn:nbn:de:0009-6-35145 %U http://dx.doi.org/10.20385/1860-2037/9.2012.7Download
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@Article{ferradans2013, author = "Ferradans, Sira and Bertalmio, Marcelo and Provenzi, Edoardo and Caselles, Vincent", title = "A multi-modal approach to perceptual tone mapping", journal = "JVRB - Journal of Virtual Reality and Broadcasting", year = "2013", volume = "9(2012)", number = "7", keywords = "Gaussian Mixture Model; High Dynamic Range Images; Naka Rushton Formula; Tone Mapping; Weber-Fechner Contrast", abstract = "We present an improvement of TSTM, a recently proposed tone mapping operator for High Dynamic Range (HDR) images, based on a multi-modal analysis. One of the key features of TSTM is a suitable implementation of the Naka-Rushton equation that mimics the visual adaptation performed by the human visual system coherently with Weber-Fechner's law of contrast perception. In the present paper we use the Gaussian Mixture Model (GMM) in order to detect the modes of the log-scale luminance histogram of a given HDR image and then we use the information provided by GMM to properly devise a Naka-Rushton equation for each mode. Finally, we properly select the parameters in order to merge those equations into a continuous function. Tests and comparisons to show how this new method is capable of improving the performances of TSTM are provided and commented, as well as comparisons with state of the art methods.", issn = "1860-2037", doi = "10.20385/1860-2037/9.2012.7", url = "http://nbn-resolving.de/urn:nbn:de:0009-6-35145" }Download
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TY - JOUR AU - Ferradans, Sira AU - Bertalmio, Marcelo AU - Provenzi, Edoardo AU - Caselles, Vincent PY - 2013 DA - 2013// TI - A multi-modal approach to perceptual tone mapping JO - JVRB - Journal of Virtual Reality and Broadcasting VL - 9(2012) IS - 7 KW - Gaussian Mixture Model KW - High Dynamic Range Images KW - Naka Rushton Formula KW - Tone Mapping KW - Weber-Fechner Contrast AB - We present an improvement of TSTM, a recently proposed tone mapping operator for High Dynamic Range (HDR) images, based on a multi-modal analysis. One of the key features of TSTM is a suitable implementation of the Naka-Rushton equation that mimics the visual adaptation performed by the human visual system coherently with Weber-Fechner's law of contrast perception. In the present paper we use the Gaussian Mixture Model (GMM) in order to detect the modes of the log-scale luminance histogram of a given HDR image and then we use the information provided by GMM to properly devise a Naka-Rushton equation for each mode. Finally, we properly select the parameters in order to merge those equations into a continuous function. Tests and comparisons to show how this new method is capable of improving the performances of TSTM are provided and commented, as well as comparisons with state of the art methods. SN - 1860-2037 UR - http://nbn-resolving.de/urn:nbn:de:0009-6-35145 DO - 10.20385/1860-2037/9.2012.7 ID - ferradans2013 ER -Download
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<?xml version="1.0" encoding="UTF-8"?> <b:Sources SelectedStyle="" xmlns:b="http://schemas.openxmlformats.org/officeDocument/2006/bibliography" xmlns="http://schemas.openxmlformats.org/officeDocument/2006/bibliography" > <b:Source> <b:Tag>ferradans2013</b:Tag> <b:SourceType>ArticleInAPeriodical</b:SourceType> <b:Year>2013</b:Year> <b:PeriodicalTitle>JVRB - Journal of Virtual Reality and Broadcasting</b:PeriodicalTitle> <b:Volume>9(2012)</b:Volume> <b:Issue>7</b:Issue> <b:Url>http://nbn-resolving.de/urn:nbn:de:0009-6-35145</b:Url> <b:Url>http://dx.doi.org/10.20385/1860-2037/9.2012.7</b:Url> <b:Author> <b:Author><b:NameList> <b:Person><b:Last>Ferradans</b:Last><b:First>Sira</b:First></b:Person> <b:Person><b:Last>Bertalmio</b:Last><b:First>Marcelo</b:First></b:Person> <b:Person><b:Last>Provenzi</b:Last><b:First>Edoardo</b:First></b:Person> <b:Person><b:Last>Caselles</b:Last><b:First>Vincent</b:First></b:Person> </b:NameList></b:Author> </b:Author> <b:Title>A multi-modal approach to perceptual tone mapping</b:Title> <b:Comments>We present an improvement of TSTM, a recently proposed tone mapping operator for High Dynamic Range (HDR) images, based on a multi-modal analysis. One of the key features of TSTM is a suitable implementation of the Naka-Rushton equation that mimics the visual adaptation performed by the human visual system coherently with Weber-Fechner's law of contrast perception. In the present paper we use the Gaussian Mixture Model (GMM) in order to detect the modes of the log-scale luminance histogram of a given HDR image and then we use the information provided by GMM to properly devise a Naka-Rushton equation for each mode. Finally, we properly select the parameters in order to merge those equations into a continuous function. Tests and comparisons to show how this new method is capable of improving the performances of TSTM are provided and commented, as well as comparisons with state of the art methods.</b:Comments> </b:Source> </b:Sources>Download
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PT Journal AU Ferradans, S Bertalmio, M Provenzi, E Caselles, V TI A multi-modal approach to perceptual tone mapping SO JVRB - Journal of Virtual Reality and Broadcasting PY 2013 VL 9(2012) IS 7 DI 10.20385/1860-2037/9.2012.7 DE Gaussian Mixture Model; High Dynamic Range Images; Naka Rushton Formula; Tone Mapping; Weber-Fechner Contrast AB We present an improvement of TSTM, a recently proposed tone mapping operator for High Dynamic Range (HDR) images, based on a multi-modal analysis. One of the key features of TSTM is a suitable implementation of the Naka-Rushton equation that mimics the visual adaptation performed by the human visual system coherently with Weber-Fechner's law of contrast perception. In the present paper we use the Gaussian Mixture Model (GMM) in order to detect the modes of the log-scale luminance histogram of a given HDR image and then we use the information provided by GMM to properly devise a Naka-Rushton equation for each mode. Finally, we properly select the parameters in order to merge those equations into a continuous function. Tests and comparisons to show how this new method is capable of improving the performances of TSTM are provided and commented, as well as comparisons with state of the art methods. ERDownload
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<mods> <titleInfo> <title>A multi-modal approach to perceptual tone mapping</title> </titleInfo> <name type="personal"> <namePart type="family">Ferradans</namePart> <namePart type="given">Sira</namePart> </name> <name type="personal"> <namePart type="family">Bertalmio</namePart> <namePart type="given">Marcelo</namePart> </name> <name type="personal"> <namePart type="family">Provenzi</namePart> <namePart type="given">Edoardo</namePart> </name> <name type="personal"> <namePart type="family">Caselles</namePart> <namePart type="given">Vincent</namePart> </name> <abstract>We present an improvement of TSTM, a recently proposed tone mapping operator for High Dynamic Range (HDR) images, based on a multi-modal analysis. One of the key features of TSTM is a suitable implementation of the Naka-Rushton equation that mimics the visual adaptation performed by the human visual system coherently with Weber-Fechner's law of contrast perception. In the present paper we use the Gaussian Mixture Model (GMM) in order to detect the modes of the log-scale luminance histogram of a given HDR image and then we use the information provided by GMM to properly devise a Naka-Rushton equation for each mode. Finally, we properly select the parameters in order to merge those equations into a continuous function. Tests and comparisons to show how this new method is capable of improving the performances of TSTM are provided and commented, as well as comparisons with state of the art methods.</abstract> <subject> <topic>Gaussian Mixture Model</topic> <topic>High Dynamic Range Images</topic> <topic>Naka Rushton Formula</topic> <topic>Tone Mapping</topic> <topic>Weber-Fechner Contrast</topic> </subject> <classification authority="ddc">004</classification> <relatedItem type="host"> <genre authority="marcgt">periodical</genre> <genre>academic journal</genre> <titleInfo> <title>JVRB - Journal of Virtual Reality and Broadcasting</title> </titleInfo> <part> <detail type="volume"> <number>9(2012)</number> </detail> <detail type="issue"> <number>7</number> </detail> <date>2013</date> </part> </relatedItem> <identifier type="issn">1860-2037</identifier> <identifier type="urn">urn:nbn:de:0009-6-35145</identifier> <identifier type="doi">10.20385/1860-2037/9.2012.7</identifier> <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-6-35145</identifier> <identifier type="citekey">ferradans2013</identifier> </mods>Download
Full Metadata
Bibliographic Citation | JVRB, 9(2012), no. 7. |
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Title |
A multi-modal approach to perceptual tone mapping (eng) |
Author | Sira Ferradans, Marcelo Bertalmio, Edoardo Provenzi, Vincent Caselles |
Language | eng |
Abstract | We present an improvement of TSTM, a recently proposed tone mapping operator for High Dynamic Range (HDR) images, based on a multi-modal analysis. One of the key features of TSTM is a suitable implementation of the Naka-Rushton equation that mimics the visual adaptation performed by the human visual system coherently with Weber-Fechner's law of contrast perception. In the present paper we use the Gaussian Mixture Model (GMM) in order to detect the modes of the log-scale luminance histogram of a given HDR image and then we use the information provided by GMM to properly devise a Naka-Rushton equation for each mode. Finally, we properly select the parameters in order to merge those equations into a continuous function. Tests and comparisons to show how this new method is capable of improving the performances of TSTM are provided and commented, as well as comparisons with state of the art methods. |
Subject | Gaussian Mixture Model, High Dynamic Range Images, Naka Rushton Formula, Tone Mapping, Weber-Fechner Contrast |
Classified Subjects |
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DDC | 004 |
Rights | DPPL |
URN: | urn:nbn:de:0009-6-35145 |
DOI | https://doi.org/10.20385/1860-2037/9.2012.7 |