{"id":"https://openalex.org/W3183409635","doi":"https://doi.org/10.2312/sr.20211303","title":"Modeling Surround-aware Contrast Sensitivity","display_name":"Modeling Surround-aware Contrast Sensitivity","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3183409635","doi":"https://doi.org/10.2312/sr.20211303","mag":"3183409635"},"language":"en","primary_location":{"id":"doi:10.2312/sr.20211303","is_oa":true,"landing_page_url":"https://doi.org/10.2312/sr.20211303","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/sr.20211303","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007192436","display_name":"Shinyoung Yi","orcid":"https://orcid.org/0000-0003-1312-657X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yi, Shinyoung","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025382869","display_name":"Daniel S. Jeon","orcid":"https://orcid.org/0000-0001-8433-6932"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeon, Daniel S.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069358072","display_name":"Ana Serrano","orcid":"https://orcid.org/0000-0002-7796-3177"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Serrano, Ana","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101718441","display_name":"Seyoon Jeong","orcid":"https://orcid.org/0000-0002-1675-4814"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeong, Se-Yoon","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047351360","display_name":"Hui Yong Kim","orcid":"https://orcid.org/0000-0001-7308-133X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Hui-Yong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001550110","display_name":"Diego Guti\u00e9rrez","orcid":"https://orcid.org/0000-0002-7503-7022"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gutierrez, Diego","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5052213409","display_name":"Min H. Kim","orcid":"https://orcid.org/0000-0002-5078-4005"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Min H.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5007192436"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37854575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"205","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.4174000024795532,"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/T10799","display_name":"Data Visualization and Analytics","score":0.4174000024795532,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.4088999927043915,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.3732999861240387,"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/sensitivity","display_name":"Sensitivity (control systems)","score":0.6429364085197449},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6299569010734558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37459230422973633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.322096049785614},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0896921157836914}],"concepts":[{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6429364085197449},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6299569010734558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37459230422973633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.322096049785614},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0896921157836914},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/sr.20211303","is_oa":true,"landing_page_url":"https://doi.org/10.2312/sr.20211303","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:3183409635","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/rt/dl2021.html#YiJSJKG021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2312/sr.20211303","is_oa":true,"landing_page_url":"https://doi.org/10.2312/sr.20211303","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3080862929","https://openalex.org/W2044300830","https://openalex.org/W2419512050","https://openalex.org/W2124432450","https://openalex.org/W1997988832","https://openalex.org/W2910053422","https://openalex.org/W3036682213","https://openalex.org/W2057978489","https://openalex.org/W2135542269","https://openalex.org/W2078132377","https://openalex.org/W3172970531","https://openalex.org/W2014253076","https://openalex.org/W2045026789","https://openalex.org/W2153273516","https://openalex.org/W2166936399","https://openalex.org/W2122621480","https://openalex.org/W2056016381","https://openalex.org/W2040959874","https://openalex.org/W3163493317","https://openalex.org/W2974465149"],"abstract_inverted_index":{"Despite":[0],"advances":[1],"in":[2,155],"display":[3],"technology,":[4],"many":[5,126],"existing":[6,127],"applications":[7,128],"rely":[8],"on":[9],"psychophysical":[10,51],"datasets":[11],"of":[12,41,50,72,111,132,138],"human":[13,96],"perception":[14],"gathered":[15],"using":[16,57,143],"older,":[17],"sometimes":[18],"outdated":[19],"displays.":[20],"As":[21],"a":[22,48,58,87,104,144],"result,":[23],"there":[24],"exists":[25],"the":[26,37,67,73,109],"underlying":[27],"assumption":[28],"that":[29,107,129],"such":[30],"measurements":[31],"can":[32],"be":[33],"carried":[34],"over":[35],"to":[36,53],"new":[38],"viewing":[39],"conditions":[40],"more":[42,99],"modern":[43],"technology.":[44],"We":[45,101,135],"have":[46,85],"conducted":[47],"series":[49],"experiments":[52],"explore":[54],"contrast":[55,90,97],"sensitivity":[56,91,98],"state-of-the-art":[59],"HDR":[60,140],"display,":[61],"taking":[62],"into":[63],"account":[64],"not":[65],"only":[66],"spatial":[68],"frequency":[69],"and":[70,120,152],"luminance":[71,79],"stimuli":[74],"but":[75],"also":[76],"their":[77],"surrounding":[78],"levels.":[80],"From":[81],"our":[82,112,149],"data,":[83],"we":[84],"derived":[86,147],"novel":[88],"surroundaware":[89],"function":[92,146],"(CSF),":[93],"which":[94],"predicts":[95],"accurately.":[100],"additionally":[102],"provide":[103],"practical":[105],"version":[106],"retains":[108],"benefits":[110],"full":[113],"model,":[114],"while":[115],"enabling":[116],"easy":[117],"backward":[118],"compatibility":[119],"consistently":[121],"producing":[122],"good":[123],"results":[124],"across":[125],"make":[130],"use":[131],"CSF":[133],"models.":[134],"show":[136],"examples":[137],"effective":[139],"video":[141],"compression":[142],"transfer":[145],"from":[148],"CSF,":[150],"tone-mapping,":[151],"improved":[153],"accuracy":[154],"visual":[156],"difference":[157],"prediction.":[158]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}