{"id":"https://openalex.org/W2007325588","doi":"https://doi.org/10.1109/icassp.2014.6853579","title":"Towards anovel perceptual color difference metric using circular processing of hue components","display_name":"Towards anovel perceptual color difference metric using circular processing of hue components","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2007325588","doi":"https://doi.org/10.1109/icassp.2014.6853579","mag":"2007325588"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6853579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087398451","display_name":"Dohyoung Lee","orcid":"https://orcid.org/0000-0002-3684-4702"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dohyoung Lee","raw_affiliation_strings":["The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada","Edward S. Rogers Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Edward S. Rogers Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059152392","display_name":"Konstantinos N. Plataniotis","orcid":"https://orcid.org/0000-0003-3647-5473"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Konstantinos N. Plataniotis","raw_affiliation_strings":["The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada","Edward S. Rogers Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Edward S. Rogers Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":3.2921,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90106602,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"166","last_page":"170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.8917080760002136},{"id":"https://openalex.org/keywords/gamut","display_name":"Gamut","score":0.7793864607810974},{"id":"https://openalex.org/keywords/achromatic-lens","display_name":"Achromatic lens","score":0.7421607971191406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.696074366569519},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6693291664123535},{"id":"https://openalex.org/keywords/color-difference","display_name":"Color difference","score":0.6583366394042969},{"id":"https://openalex.org/keywords/chromatic-scale","display_name":"Chromatic scale","score":0.6529475450515747},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6218374371528625},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5699996948242188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.538276731967926},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.5357353687286377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4594380259513855},{"id":"https://openalex.org/keywords/lightness","display_name":"Lightness","score":0.42164346575737},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.41602444648742676},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21942293643951416},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.17435315251350403},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13295501470565796},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08737024664878845},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07979178428649902}],"concepts":[{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.8917080760002136},{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.7793864607810974},{"id":"https://openalex.org/C121535716","wikidata":"https://www.wikidata.org/wiki/Q340600","display_name":"Achromatic lens","level":2,"score":0.7421607971191406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.696074366569519},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6693291664123535},{"id":"https://openalex.org/C186991048","wikidata":"https://www.wikidata.org/wiki/Q1184883","display_name":"Color difference","level":3,"score":0.6583366394042969},{"id":"https://openalex.org/C196956537","wikidata":"https://www.wikidata.org/wiki/Q202021","display_name":"Chromatic scale","level":2,"score":0.6529475450515747},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6218374371528625},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5699996948242188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.538276731967926},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.5357353687286377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4594380259513855},{"id":"https://openalex.org/C193601281","wikidata":"https://www.wikidata.org/wiki/Q19426","display_name":"Lightness","level":2,"score":0.42164346575737},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.41602444648742676},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21942293643951416},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.17435315251350403},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13295501470565796},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08737024664878845},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07979178428649902},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6853579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1972006393","https://openalex.org/W1973175507","https://openalex.org/W1982629307","https://openalex.org/W1990693464","https://openalex.org/W2006776449","https://openalex.org/W2009973781","https://openalex.org/W2015054865","https://openalex.org/W2023132800","https://openalex.org/W2035713052","https://openalex.org/W2060131032","https://openalex.org/W2086087329","https://openalex.org/W2087401004","https://openalex.org/W2095776733","https://openalex.org/W2114582993","https://openalex.org/W2123241326","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2148748290","https://openalex.org/W2150969685","https://openalex.org/W2169467627","https://openalex.org/W2219988151","https://openalex.org/W2402561825","https://openalex.org/W2502575609","https://openalex.org/W3140697707","https://openalex.org/W6656297412","https://openalex.org/W6688890991"],"related_works":["https://openalex.org/W1978587009","https://openalex.org/W2049029642","https://openalex.org/W1990458004","https://openalex.org/W2377420975","https://openalex.org/W2050680582","https://openalex.org/W2085519698","https://openalex.org/W2349154417","https://openalex.org/W3125058800","https://openalex.org/W2347636792","https://openalex.org/W2598895396"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,27,109],"novel":[4],"metric":[5,107],"for":[6,122],"image":[7,95],"difference":[8,20,79],"prediction,":[9],"capable":[10],"of":[11,38,70,83,87,104,112],"handling":[12],"color":[13,19,41,123],"data.":[14],"The":[15],"proposed":[16,89,106],"metric,":[17],"namely,":[18],"index":[21],"based":[22,29],"on":[23,115],"circular":[24,84],"hue,":[25],"is":[26,48,72,91],"full-reference":[28],"scheme,":[30],"which":[31],"independently":[32],"processes":[33],"achromatic":[34],"and":[35,55],"chromatic":[36,46,116],"differences":[37],"two":[39,51],"input":[40],"images.":[42],"Within":[43],"the":[44,67,88,102,105],"framework,":[45],"information":[47],"analyzed":[49],"using":[50,93],"perceptual":[52],"attributes,":[53],"hue":[54,71,78],"chroma":[56],"information,":[57],"simulating":[58],"human":[59],"visual":[60],"system":[61],"mechanism.":[62],"Unlike":[63],"conventional":[64],"approaches":[65],"where":[66],"periodic":[68],"nature":[69],"disregarded,":[73],"we":[74],"propose":[75],"to":[76],"estimate":[77],"by":[80],"adopting":[81],"theory":[82],"statistics.":[85],"Performance":[86],"solution":[90],"validated":[92],"benchmark":[94],"quality":[96],"assessment":[97],"databases.":[98],"Experimental":[99],"results":[100],"indicate":[101],"effectiveness":[103],"against":[108],"wide":[110],"range":[111],"distortions,":[113,117],"especially":[114],"making":[118],"it":[119],"better":[120],"suited":[121],"gamut":[124],"mapping":[125],"applications.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
