{"id":"https://openalex.org/W2120465044","doi":"https://doi.org/10.1109/euvip.2011.6045555","title":"Recent progress in quantifying colour reproduction quality","display_name":"Recent progress in quantifying colour reproduction quality","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2120465044","doi":"https://doi.org/10.1109/euvip.2011.6045555","mag":"2120465044"},"language":"en","primary_location":{"id":"doi:10.1109/euvip.2011.6045555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2011.6045555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd European Workshop on Visual Information Processing","raw_type":"proceedings-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/A5088139921","display_name":"Jon Yngve Hardeberg","orcid":"https://orcid.org/0000-0003-1150-2498"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jon Y. Hardeberg","raw_affiliation_strings":["Norwegian Color Research Laboratory, Gj\u00f8vik University College, Gjovik, Norway","Gj\u2298vik University College, The Norwegian Color Research Laboratory, Gj\u2298vik, Norway"],"affiliations":[{"raw_affiliation_string":"Norwegian Color Research Laboratory, Gj\u00f8vik University College, Gjovik, Norway","institution_ids":[]},{"raw_affiliation_string":"Gj\u2298vik University College, The Norwegian Color Research Laboratory, Gj\u2298vik, Norway","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5088139921"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15742834,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5575","issue":null,"first_page":"8","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9955999851226807,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9894999861717224,"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/computer-science","display_name":"Computer science","score":0.7772577404975891},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6585781574249268},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.635842502117157},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6191866397857666},{"id":"https://openalex.org/keywords/holy-grail","display_name":"Holy Grail","score":0.6124866604804993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5357517004013062},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5196400880813599},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4946558177471161},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.4810057580471039},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4635668694972992},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23441213369369507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07723337411880493}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7772577404975891},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6585781574249268},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.635842502117157},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6191866397857666},{"id":"https://openalex.org/C2781270358","wikidata":"https://www.wikidata.org/wiki/Q5885594","display_name":"Holy Grail","level":2,"score":0.6124866604804993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5357517004013062},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5196400880813599},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4946558177471161},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.4810057580471039},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4635668694972992},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23441213369369507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07723337411880493},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/euvip.2011.6045555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2011.6045555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd European Workshop on Visual Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323299","display_name":"Norges Forskningsr\u00e5d","ror":"https://ror.org/00epmv149"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1547920953","https://openalex.org/W2007350248","https://openalex.org/W2037028996","https://openalex.org/W2056273571","https://openalex.org/W2099244020","https://openalex.org/W2099269530","https://openalex.org/W2100159681","https://openalex.org/W2104800183","https://openalex.org/W2112761648","https://openalex.org/W2133665775","https://openalex.org/W2169329545","https://openalex.org/W2186133047","https://openalex.org/W2193581139","https://openalex.org/W2394753001","https://openalex.org/W2398333608","https://openalex.org/W2399556955","https://openalex.org/W2406012730","https://openalex.org/W2406921303","https://openalex.org/W2474830469","https://openalex.org/W6664317569","https://openalex.org/W6677060035","https://openalex.org/W6712889632"],"related_works":["https://openalex.org/W2572271943","https://openalex.org/W2086591401","https://openalex.org/W4297991792","https://openalex.org/W54224318","https://openalex.org/W4210289516","https://openalex.org/W2158564760","https://openalex.org/W1677446238","https://openalex.org/W3185545335","https://openalex.org/W170412880","https://openalex.org/W2889641121"],"abstract_inverted_index":{"Quantifying":[0],"the":[1,20,34,59,66,91,100,106,109,113,139],"perceptual":[2,62,116],"difference":[3],"between":[4],"original":[5],"and":[6,39,75,97,168,175,178],"reproduced":[7],"(and":[8],"inevitably":[9],"modified)":[10],"colour":[11,23,42,117,172],"images":[12],"is":[13,50,142],"currently":[14],"a":[15,150,183],"key":[16],"research":[17,47,155],"challenge":[18],"in":[19,33,45,64,87,156,163,182],"field":[21],"of":[22,36,61,68,90,108,128,153],"imaging.":[24],"Such":[25],"information":[26,57],"can":[27,122],"be":[28,145],"extremely":[29],"valuable":[30],"for":[31,41,84,115,134,170],"instance":[32],"development":[35],"new":[37,166,176],"equipment":[38],"algorithms":[40],"reproduction.":[43],"While":[44],"many":[46],"areas":[48],"it":[49],"common":[51],"practice":[52],"to":[53,144],"obtain":[54],"quantitative":[55],"quality":[56,119,126,181],"by":[58,95,99],"use":[60],"tests,":[63],"which":[65],"judgments":[67,127],"several":[69,135],"human":[70,110,125],"observers":[71],"are":[72,161],"being":[73],"collected":[74],"carefully":[76],"analyzed":[77],"statistically,":[78],"this":[79,157],"approach":[80],"has":[81,131],"serious":[82],"limitations":[83],"practical":[85],"use,":[86],"particular":[88,164],"because":[89],"time":[92],"consumption.":[93],"Motivated":[94],"this,":[96],"aided":[98],"ever":[101],"increasing":[102],"available":[103],"knowledge":[104],"about":[105],"mechanisms":[107],"visual":[111],"system,":[112],"quest":[114],"image":[118,173],"metrics":[120,169],"that":[121,160],"adequately":[123],"predict":[124],"complex":[129],"images,":[130],"been":[132],"on":[133],"decades.":[136],"However,":[137],"unfortunately,":[138],"\u201dholy":[140],"grail\u201d":[141],"yet":[143],"found.":[146],"This":[147],"paper":[148],"gives":[149],"selective":[151],"presentation":[152],"recent":[154],"field.":[158],"Aspects":[159],"covered":[162],"include":[165],"models":[167,179],"full-reference":[171],"quality,":[174],"frameworks":[177],"quantifying":[180],"printing":[184],"workflow.":[185]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
