{"id":"https://openalex.org/W1483690778","doi":"https://doi.org/10.2352/cic.2001.9.1.art00004","title":"Multidimensional Analysis Reveals Importance of Color for Image Quality","display_name":"Multidimensional Analysis Reveals Importance of Color for Image Quality","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W1483690778","doi":"https://doi.org/10.2352/cic.2001.9.1.art00004","mag":"1483690778"},"language":"en","primary_location":{"id":"doi:10.2352/cic.2001.9.1.art00004","is_oa":false,"landing_page_url":"https://doi.org/10.2352/cic.2001.9.1.art00004","pdf_url":null,"source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"},"type":"article","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/A5078144680","display_name":"Ethan D. Montag","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ethan D. Montag","raw_affiliation_strings":["Rochester\u00a0Institute\u00a0of\u00a0Technology"],"affiliations":[{"raw_affiliation_string":"Rochester\u00a0Institute\u00a0of\u00a0Technology","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104354846","display_name":"Hirokazu Kasahara","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hirokazu Kasahara","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078144680"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":1.2774,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80186218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":"1","first_page":"17","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9190999865531921,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multidimensional-scaling","display_name":"Multidimensional scaling","score":0.6700050830841064},{"id":"https://openalex.org/keywords/thurstone-scale","display_name":"Thurstone scale","score":0.6439962387084961},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6296816468238831},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5039464831352234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49991893768310547},{"id":"https://openalex.org/keywords/paired-comparison","display_name":"Paired comparison","score":0.46944236755371094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45896223187446594},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4501662850379944},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.42132464051246643},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4196540117263794},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4193616211414337},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3388964831829071},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.32171630859375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3216691017150879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2984820008277893}],"concepts":[{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.6700050830841064},{"id":"https://openalex.org/C154253687","wikidata":"https://www.wikidata.org/wiki/Q1992046","display_name":"Thurstone scale","level":2,"score":0.6439962387084961},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6296816468238831},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5039464831352234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49991893768310547},{"id":"https://openalex.org/C3018304881","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Paired comparison","level":2,"score":0.46944236755371094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45896223187446594},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4501662850379944},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.42132464051246643},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4196540117263794},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4193616211414337},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3388964831829071},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.32171630859375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3216691017150879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2984820008277893},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/cic.2001.9.1.art00004","is_oa":false,"landing_page_url":"https://doi.org/10.2352/cic.2001.9.1.art00004","pdf_url":null,"source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W117167611","https://openalex.org/W4378211426","https://openalex.org/W2001182797","https://openalex.org/W2395113978","https://openalex.org/W2125315986","https://openalex.org/W2089163864","https://openalex.org/W4246753709","https://openalex.org/W4254255483","https://openalex.org/W2523427443","https://openalex.org/W2145340661"],"abstract_inverted_index":{"A":[0],"psychophysical":[1],"experiment":[2,41],"was":[3,55],"performed":[4],"to":[5,57,136,185,198],"determine":[6],"the":[7,51,62,95,118,154,175],"psychological":[8,119,166,193],"dimensions":[9,97],"involved":[10],"in":[11,99,126,139,143,150,159,174,215],"judging":[12,212],"image":[13,59,187,199,213],"quality.":[14,200],"Seven":[15],"different":[16,37],"prints":[17],"for":[18,211],"each":[19],"of":[20,33,43,66,83,104,208],"two":[21,44,127],"images,":[22],"a":[23,26,31,89],"portrait":[24],"and":[25,36,68,86,106,153,189,194],"landscape,":[27],"were":[28,47,70,78,108],"produced":[29],"using":[30,72,80,110],"combination":[32],"5":[34],"printers":[35],"paper":[38],"types.":[39],"The":[40,75,102,114,165],"consisted":[42],"parts":[45],"that":[46,93,117,179,205],"run":[48],"concurrently.":[49],"In":[50,61],"first":[52],"part,":[53,64],"paired-comparison":[54,76],"used":[56,98,135,184],"evaluate":[58],"preference.":[60],"second":[63],"judgments":[65,103],"similarity":[67,105],"dissimilarity":[69,107],"made":[71],"triad":[73],"presentations.":[74],"data":[77],"analyzed":[79,109],"Thurstone's":[81],"Law":[82],"Comparative":[84],"Judgment":[85],"Dual":[87],"Scaling,":[88],"multidimensional":[90,112,180],"statistical":[91],"technique":[92],"reveals":[94],"independent":[96],"categorical":[100],"judgments.":[101],"nonmetric":[111],"scaling.":[113],"results":[115,203],"indicate":[116,204],"stimulus":[120,167],"space":[121,168],"can":[122,133,146,182],"be":[123,134,147,183],"characterized":[124,148],"well":[125],"dimensions.":[128],"An":[129],"ideal":[130],"point":[131],"model":[132],"identify":[137],"preference":[138,188],"this":[140,163],"space.":[141],"Variation":[142],"subjects'":[144],"preferences":[145],"predominantly":[149],"one":[151],"dimension":[152],"subjects":[155],"are":[156],"fairly":[157],"consistent":[158],"their":[160],"response":[161],"along":[162],"dimension.":[164],"correlated":[169],"highly":[170],"with":[171],"color":[172,206],"variation":[173],"images.":[176],"We":[177],"conclude":[178],"techniques":[181],"analyze":[186],"find":[190],"relationships":[191],"between":[192],"physical":[195],"variables":[196],"relating":[197],"Specifically,":[201],"our":[202,216],"is":[207],"primary":[209],"importance":[210],"quality":[214],"particular":[217],"situation.":[218]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
