{"id":"https://openalex.org/W2414640440","doi":"https://doi.org/10.1109/tip.2016.2579308","title":"Toward a No-Reference Image Quality Assessment Using Statistics of Perceptual Color Descriptors","display_name":"Toward a No-Reference Image Quality Assessment Using Statistics of Perceptual Color Descriptors","publication_year":2016,"publication_date":"2016-06-09","ids":{"openalex":"https://openalex.org/W2414640440","doi":"https://doi.org/10.1109/tip.2016.2579308","mag":"2414640440","pmid":"https://pubmed.ncbi.nlm.nih.gov/27305678"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2016.2579308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2579308","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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":["Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-3684-4702","affiliations":[{"raw_affiliation_string":"Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University 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":["Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University 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":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":4.6025,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.95412844,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"25","issue":"8","first_page":"3875","last_page":"3889"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9997000098228455,"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/T11666","display_name":"Color Science and Applications","score":0.9972000122070312,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.772059440612793},{"id":"https://openalex.org/keywords/chromatic-scale","display_name":"Chromatic scale","score":0.7381831407546997},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.6646994948387146},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6247398853302002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5539834499359131},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5406415462493896},{"id":"https://openalex.org/keywords/achromatic-lens","display_name":"Achromatic lens","score":0.5231651067733765},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5214647054672241},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.510066568851471},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.46817582845687866},{"id":"https://openalex.org/keywords/scene-statistics","display_name":"Scene statistics","score":0.46610626578330994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4452981948852539},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44283273816108704},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.43778103590011597},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.3229059875011444},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.282046914100647},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21917882561683655}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.772059440612793},{"id":"https://openalex.org/C196956537","wikidata":"https://www.wikidata.org/wiki/Q202021","display_name":"Chromatic scale","level":2,"score":0.7381831407546997},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.6646994948387146},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6247398853302002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5539834499359131},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5406415462493896},{"id":"https://openalex.org/C121535716","wikidata":"https://www.wikidata.org/wiki/Q340600","display_name":"Achromatic lens","level":2,"score":0.5231651067733765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5214647054672241},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.510066568851471},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.46817582845687866},{"id":"https://openalex.org/C197654239","wikidata":"https://www.wikidata.org/wiki/Q7430757","display_name":"Scene statistics","level":3,"score":0.46610626578330994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4452981948852539},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44283273816108704},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43778103590011597},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3229059875011444},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.282046914100647},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21917882561683655},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2016.2579308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2579308","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:27305678","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27305678","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1520563248","https://openalex.org/W1581676061","https://openalex.org/W1597084354","https://openalex.org/W1965809243","https://openalex.org/W1968590503","https://openalex.org/W1970383695","https://openalex.org/W1973175507","https://openalex.org/W1974013408","https://openalex.org/W1975043149","https://openalex.org/W1976478698","https://openalex.org/W1977246677","https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W1984914622","https://openalex.org/W1991135461","https://openalex.org/W1991605728","https://openalex.org/W1997781091","https://openalex.org/W2020081164","https://openalex.org/W2020391188","https://openalex.org/W2023140507","https://openalex.org/W2061513831","https://openalex.org/W2063658831","https://openalex.org/W2087984648","https://openalex.org/W2100001370","https://openalex.org/W2102166818","https://openalex.org/W2102397036","https://openalex.org/W2109943925","https://openalex.org/W2110290736","https://openalex.org/W2120504013","https://openalex.org/W2120838001","https://openalex.org/W2126326837","https://openalex.org/W2129644086","https://openalex.org/W2131676517","https://openalex.org/W2133665775","https://openalex.org/W2134227958","https://openalex.org/W2137186219","https://openalex.org/W2137226992","https://openalex.org/W2138088051","https://openalex.org/W2143901157","https://openalex.org/W2151035455","https://openalex.org/W2160477239","https://openalex.org/W2161907179","https://openalex.org/W2162342922","https://openalex.org/W2162692770","https://openalex.org/W2171349048","https://openalex.org/W2295580243","https://openalex.org/W3122510310","https://openalex.org/W4231353764","https://openalex.org/W4238491817","https://openalex.org/W6680532697"],"related_works":["https://openalex.org/W2181667894","https://openalex.org/W1971049897","https://openalex.org/W2087227609","https://openalex.org/W1964564375","https://openalex.org/W2603119503","https://openalex.org/W2002706498","https://openalex.org/W1966026245","https://openalex.org/W2327396206","https://openalex.org/W2117158375","https://openalex.org/W2132521003"],"abstract_inverted_index":{"Analysis":[0],"of":[1,5,16,35,53,63,72,78,96,115,130,147,169,182,200,221,241],"the":[2,14,32,51,61,111,148,167,170,211,217],"statistical":[3],"properties":[4],"natural":[6,39],"images":[7],"has":[8],"played":[9],"a":[10,180,187,198,238,247],"vital":[11],"role":[12],"in":[13,38,156],"design":[15],"no-reference":[17],"(NR)":[18],"image":[19,55,97,177,207,222,243],"quality":[20,113,196,223],"assessment":[21],"(IQA)":[22],"techniques.":[23],"In":[24,107],"this":[25],"paper,":[26],"we":[27,118],"propose":[28],"parametric":[29,121],"models":[30,59,122,150,173],"describing":[31],"general":[33],"characteristics":[34],"chromatic":[36,54,64,116,172,229],"data":[37,65],"images.":[40],"They":[41],"provide":[42,92],"informative":[43],"cues":[44],"for":[45],"quantifying":[46],"visual":[47,88,112,195],"discomfort":[48],"caused":[49],"by":[50,70,84,153],"presence":[52],"distortions.":[56],"The":[57,76,144,163],"established":[58],"capture":[60],"correlation":[62],"between":[66],"spatially":[67],"adjacent":[68],"pixels":[69],"means":[71],"color":[73,79,131,242],"invariance":[74,80,125],"descriptors.":[75],"use":[77],"descriptors":[81,126],"is":[82,151,191],"inspired":[83],"their":[85],"relevance":[86],"to":[87,109,178,193],"perception,":[89],"since":[90],"they":[91],"less":[93],"sensitive":[94],"descriptions":[95],"scenes":[98],"against":[99],"viewing":[100],"geometry":[101],"and":[102,140,228],"illumination":[103],"variations":[104],"than":[105],"luminances.":[106],"order":[108],"approximate":[110],"perception":[114],"distortions,":[117,230],"devise":[119],"four":[120],"derived":[123],"from":[124,174],"representing":[127],"independent":[128],"aspects":[129],"perception:":[132],"1)":[133],"hue;":[134],"2)":[135],"saturation;":[136],"3)":[137],"opponent":[138],"angle;":[139],"4)":[141],"spherical":[142],"angle.":[143],"practical":[145],"utility":[146],"proposed":[149,171,212],"examined":[152],"deploying":[154],"them":[155],"our":[157],"new":[158],"general-purpose":[159],"NR":[160],"IQA":[161,249],"metric.":[162],"metric":[164,213],"initially":[165],"estimates":[166],"parameters":[168],"an":[175],"input":[176],"constitute":[179],"collection":[181],"quality-aware":[183],"features":[184],"(QAF).":[185],"Thereafter,":[186],"machine":[188],"learning":[189],"technique":[190],"applied":[192],"predict":[194],"given":[197],"set":[199],"extracted":[201],"QAFs.":[202],"Experimentation":[203],"performed":[204],"on":[205,237],"large-scale":[206],"databases":[208],"demonstrates":[209],"that":[210,232],"correlates":[214],"well":[215],"with":[216],"provided":[218],"subjective":[219],"ratings":[220],"over":[224],"commonly":[225],"encountered":[226],"achromatic":[227],"indicating":[231],"it":[233],"can":[234],"be":[235],"deployed":[236],"wide":[239],"variety":[240],"processing":[244],"problems":[245],"as":[246],"generalized":[248],"solution.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":6}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}