A Quantitative Model for Transforming Reflectance Spectra into the Munsell Color Space Using Cone Sensitivity Functions and Opponent Process Weights
This article presents a computational model of the process through which the human visual system transforms reflectance spectra into perceptions of color. Using physical reflectance spectra data and standard human cone sensitivity functions we describe the transformations necessary for predicting th...
Gespeichert in:
| Veröffentlicht in: | Proceedings of the National Academy of Sciences - PNAS 2003-05, Vol.100 (10), p.6281-6286 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 6286 |
|---|---|
| container_issue | 10 |
| container_start_page | 6281 |
| container_title | Proceedings of the National Academy of Sciences - PNAS |
| container_volume | 100 |
| creator | D'Andrade, Roy G. Romney, A. Kimball |
| description | This article presents a computational model of the process through which the human visual system transforms reflectance spectra into perceptions of color. Using physical reflectance spectra data and standard human cone sensitivity functions we describe the transformations necessary for predicting the location of colors in the Munsell color space. These transformations include quantitative estimates of the opponent process weights needed to transform cone activations into Munsell color space coordinates. Using these opponent process weights, the Munsell position of specific colors can be predicted from their physical spectra with a mean correlation of 0.989. |
| doi_str_mv | 10.1073/pnas.1031827100 |
| format | Article |
| fullrecord | <record><control><sourceid>jstor_pnas_</sourceid><recordid>TN_cdi_pnas_primary_100_10_6281_fulltext</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>3147579</jstor_id><sourcerecordid>3147579</sourcerecordid><originalsourceid>FETCH-LOGICAL-c524t-3fe6d6d3268b6e427cf307a1aac63109754431daeed08784122aa36507aca6443</originalsourceid><addsrcrecordid>eNqF0k1v1DAQBmALgehSOHNBYHFAvSz1R2I7Bw7VilKkogJtxdFyHWfXq6wdbKei_4MfzES76gIHOGUkP-_IngxCzyl5S4nkx0MwGSpOFZOUkAdoRklD56JqyEM0I4TJuapYdYCe5LwmhDS1Io_RAWWSM8n4DP08wV9GE4ovpvhbhz_F1vW4iwlfJRMyFBsflvir63pniwnW4csBqmSwDyXisoLMGLLre7yIPeQuBwPoOk-xRQzgXcgemvtyh0_HYIuPIWMTWnwxDABCwZ9TtC5n_M355arkp-hRZ_rsnu2-h-j69P3V4mx-fvHh4-LkfG5rVpU575xoRcuZUDfCVUzajhNpqDFWcJiDrKuK09Y41xIlVUUZM4aLGow1As4O0btt32G82bjWwlWS6fWQ_MakOx2N13-eBL_Sy3iraS244JB_s8un-H10ueiNzxZGYYKLY9YwZCUlI_-FVDVMwq8B-PovuI5jCjAEzQjlslJyQsdbZFPMObnu_saU6Gkt9LQWer8WkHj5-0P3frcHAF7twJTct5v6acEUBXH0b6G7se-L-1GAvtjSdS4x3VtOK1nLhv8Cr_jXkw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>201374870</pqid></control><display><type>article</type><title>A Quantitative Model for Transforming Reflectance Spectra into the Munsell Color Space Using Cone Sensitivity Functions and Opponent Process Weights</title><source>PubMed (Medline)</source><source>MEDLINE</source><source>Alma/SFX Local Collection</source><source>Free Full-Text Journals in Chemistry</source><source>JSTOR</source><creator>D'Andrade, Roy G. ; Romney, A. Kimball</creator><creatorcontrib>D'Andrade, Roy G. ; Romney, A. Kimball</creatorcontrib><description>This article presents a computational model of the process through which the human visual system transforms reflectance spectra into perceptions of color. Using physical reflectance spectra data and standard human cone sensitivity functions we describe the transformations necessary for predicting the location of colors in the Munsell color space. These transformations include quantitative estimates of the opponent process weights needed to transform cone activations into Munsell color space coordinates. Using these opponent process weights, the Munsell position of specific colors can be predicted from their physical spectra with a mean correlation of 0.989.</description><identifier>ISSN: 0027-8424</identifier><identifier>EISSN: 1091-6490</identifier><identifier>DOI: 10.1073/pnas.1031827100</identifier><identifier>PMID: 12732723</identifier><language>eng</language><publisher>United States: National Academy of Sciences</publisher><subject>Color ; Color Perception - physiology ; Color vision ; Colors ; computational neuroscience ; Contrast Sensitivity ; Coordinate systems ; Cubes ; Humans ; Integers ; Mathematical functions ; Models, Psychological ; Pattern Recognition, Visual - physiology ; Processes ; Quantitative modeling ; Retinal Cone Photoreceptor Cells - physiology ; Sensitivity ; Social Sciences ; Space Perception - physiology ; Spectral reflectance ; Spectroscopic analysis ; Spectrum analysis ; Visual perception</subject><ispartof>Proceedings of the National Academy of Sciences - PNAS, 2003-05, Vol.100 (10), p.6281-6286</ispartof><rights>Copyright 1993-2003 National Academy of Sciences of the United States of America</rights><rights>Copyright National Academy of Sciences May 13, 2003</rights><rights>Copyright © 2003, The National Academy of Sciences 2003</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c524t-3fe6d6d3268b6e427cf307a1aac63109754431daeed08784122aa36507aca6443</citedby><cites>FETCH-LOGICAL-c524t-3fe6d6d3268b6e427cf307a1aac63109754431daeed08784122aa36507aca6443</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.pnas.org/content/100/10.cover.gif</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/3147579$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/3147579$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,727,780,784,803,885,27922,27923,53789,53791,58015,58248</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12732723$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>D'Andrade, Roy G.</creatorcontrib><creatorcontrib>Romney, A. Kimball</creatorcontrib><title>A Quantitative Model for Transforming Reflectance Spectra into the Munsell Color Space Using Cone Sensitivity Functions and Opponent Process Weights</title><title>Proceedings of the National Academy of Sciences - PNAS</title><addtitle>Proc Natl Acad Sci U S A</addtitle><description>This article presents a computational model of the process through which the human visual system transforms reflectance spectra into perceptions of color. Using physical reflectance spectra data and standard human cone sensitivity functions we describe the transformations necessary for predicting the location of colors in the Munsell color space. These transformations include quantitative estimates of the opponent process weights needed to transform cone activations into Munsell color space coordinates. Using these opponent process weights, the Munsell position of specific colors can be predicted from their physical spectra with a mean correlation of 0.989.</description><subject>Color</subject><subject>Color Perception - physiology</subject><subject>Color vision</subject><subject>Colors</subject><subject>computational neuroscience</subject><subject>Contrast Sensitivity</subject><subject>Coordinate systems</subject><subject>Cubes</subject><subject>Humans</subject><subject>Integers</subject><subject>Mathematical functions</subject><subject>Models, Psychological</subject><subject>Pattern Recognition, Visual - physiology</subject><subject>Processes</subject><subject>Quantitative modeling</subject><subject>Retinal Cone Photoreceptor Cells - physiology</subject><subject>Sensitivity</subject><subject>Social Sciences</subject><subject>Space Perception - physiology</subject><subject>Spectral reflectance</subject><subject>Spectroscopic analysis</subject><subject>Spectrum analysis</subject><subject>Visual perception</subject><issn>0027-8424</issn><issn>1091-6490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqF0k1v1DAQBmALgehSOHNBYHFAvSz1R2I7Bw7VilKkogJtxdFyHWfXq6wdbKei_4MfzES76gIHOGUkP-_IngxCzyl5S4nkx0MwGSpOFZOUkAdoRklD56JqyEM0I4TJuapYdYCe5LwmhDS1Io_RAWWSM8n4DP08wV9GE4ovpvhbhz_F1vW4iwlfJRMyFBsflvir63pniwnW4csBqmSwDyXisoLMGLLre7yIPeQuBwPoOk-xRQzgXcgemvtyh0_HYIuPIWMTWnwxDABCwZ9TtC5n_M355arkp-hRZ_rsnu2-h-j69P3V4mx-fvHh4-LkfG5rVpU575xoRcuZUDfCVUzajhNpqDFWcJiDrKuK09Y41xIlVUUZM4aLGow1As4O0btt32G82bjWwlWS6fWQ_MakOx2N13-eBL_Sy3iraS244JB_s8un-H10ueiNzxZGYYKLY9YwZCUlI_-FVDVMwq8B-PovuI5jCjAEzQjlslJyQsdbZFPMObnu_saU6Gkt9LQWer8WkHj5-0P3frcHAF7twJTct5v6acEUBXH0b6G7se-L-1GAvtjSdS4x3VtOK1nLhv8Cr_jXkw</recordid><startdate>20030513</startdate><enddate>20030513</enddate><creator>D'Andrade, Roy G.</creator><creator>Romney, A. Kimball</creator><general>National Academy of Sciences</general><general>National Acad Sciences</general><general>The National Academy of Sciences</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20030513</creationdate><title>A Quantitative Model for Transforming Reflectance Spectra into the Munsell Color Space Using Cone Sensitivity Functions and Opponent Process Weights</title><author>D'Andrade, Roy G. ; Romney, A. Kimball</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c524t-3fe6d6d3268b6e427cf307a1aac63109754431daeed08784122aa36507aca6443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Color</topic><topic>Color Perception - physiology</topic><topic>Color vision</topic><topic>Colors</topic><topic>computational neuroscience</topic><topic>Contrast Sensitivity</topic><topic>Coordinate systems</topic><topic>Cubes</topic><topic>Humans</topic><topic>Integers</topic><topic>Mathematical functions</topic><topic>Models, Psychological</topic><topic>Pattern Recognition, Visual - physiology</topic><topic>Processes</topic><topic>Quantitative modeling</topic><topic>Retinal Cone Photoreceptor Cells - physiology</topic><topic>Sensitivity</topic><topic>Social Sciences</topic><topic>Space Perception - physiology</topic><topic>Spectral reflectance</topic><topic>Spectroscopic analysis</topic><topic>Spectrum analysis</topic><topic>Visual perception</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>D'Andrade, Roy G.</creatorcontrib><creatorcontrib>Romney, A. Kimball</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>D'Andrade, Roy G.</au><au>Romney, A. Kimball</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Quantitative Model for Transforming Reflectance Spectra into the Munsell Color Space Using Cone Sensitivity Functions and Opponent Process Weights</atitle><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle><addtitle>Proc Natl Acad Sci U S A</addtitle><date>2003-05-13</date><risdate>2003</risdate><volume>100</volume><issue>10</issue><spage>6281</spage><epage>6286</epage><pages>6281-6286</pages><issn>0027-8424</issn><eissn>1091-6490</eissn><abstract>This article presents a computational model of the process through which the human visual system transforms reflectance spectra into perceptions of color. Using physical reflectance spectra data and standard human cone sensitivity functions we describe the transformations necessary for predicting the location of colors in the Munsell color space. These transformations include quantitative estimates of the opponent process weights needed to transform cone activations into Munsell color space coordinates. Using these opponent process weights, the Munsell position of specific colors can be predicted from their physical spectra with a mean correlation of 0.989.</abstract><cop>United States</cop><pub>National Academy of Sciences</pub><pmid>12732723</pmid><doi>10.1073/pnas.1031827100</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0027-8424 |
| ispartof | Proceedings of the National Academy of Sciences - PNAS, 2003-05, Vol.100 (10), p.6281-6286 |
| issn | 0027-8424 1091-6490 |
| language | eng |
| recordid | cdi_pnas_primary_100_10_6281_fulltext |
| source | PubMed (Medline); MEDLINE; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry; JSTOR |
| subjects | Color Color Perception - physiology Color vision Colors computational neuroscience Contrast Sensitivity Coordinate systems Cubes Humans Integers Mathematical functions Models, Psychological Pattern Recognition, Visual - physiology Processes Quantitative modeling Retinal Cone Photoreceptor Cells - physiology Sensitivity Social Sciences Space Perception - physiology Spectral reflectance Spectroscopic analysis Spectrum analysis Visual perception |
| title | A Quantitative Model for Transforming Reflectance Spectra into the Munsell Color Space Using Cone Sensitivity Functions and Opponent Process Weights |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T16%3A36%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_pnas_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Quantitative%20Model%20for%20Transforming%20Reflectance%20Spectra%20into%20the%20Munsell%20Color%20Space%20Using%20Cone%20Sensitivity%20Functions%20and%20Opponent%20Process%20Weights&rft.jtitle=Proceedings%20of%20the%20National%20Academy%20of%20Sciences%20-%20PNAS&rft.au=D'Andrade,%20Roy%20G.&rft.date=2003-05-13&rft.volume=100&rft.issue=10&rft.spage=6281&rft.epage=6286&rft.pages=6281-6286&rft.issn=0027-8424&rft.eissn=1091-6490&rft_id=info:doi/10.1073/pnas.1031827100&rft_dat=%3Cjstor_pnas_%3E3147579%3C/jstor_pnas_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=201374870&rft_id=info:pmid/12732723&rft_jstor_id=3147579&rfr_iscdi=true |