{"id":"https://openalex.org/W2580677872","doi":"https://doi.org/10.2352/issn.2470-1173.2016.13.iqsp-201","title":"Development of a Perceptually Calibrated Objective Metric for Exposure Quality","display_name":"Development of a Perceptually Calibrated Objective Metric for Exposure Quality","publication_year":2016,"publication_date":"2016-02-14","ids":{"openalex":"https://openalex.org/W2580677872","doi":"https://doi.org/10.2352/issn.2470-1173.2016.13.iqsp-201","mag":"2580677872"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2016.13.iqsp-201","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.13.iqsp-201","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/28/13/art00002","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"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":"Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/28/13/art00002","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109428087","display_name":"Zhen He","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhen He","raw_affiliation_strings":["Intel Corporation; Santa Clara, California, USA"],"affiliations":[{"raw_affiliation_string":"Intel Corporation; Santa Clara, California, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037457415","display_name":"E. Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elaine W. Jin","raw_affiliation_strings":["Intel Corporation; Santa Clara, California, USA"],"affiliations":[{"raw_affiliation_string":"Intel Corporation; Santa Clara, California, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062934420","display_name":"Yongshen Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongshen Ni","raw_affiliation_strings":["Intel Corporation; Santa Clara, California, USA"],"affiliations":[{"raw_affiliation_string":"Intel Corporation; Santa Clara, California, USA","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109428087"],"corresponding_institution_ids":["https://openalex.org/I1343180700"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16683169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":"13","first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9904999732971191,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9904999732971191,"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":0.9767000079154968,"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":0.9697999954223633,"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/metric","display_name":"Metric (unit)","score":0.7743449807167053},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6908504366874695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6539658308029175},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6250405311584473},{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.6037449836730957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5603266358375549},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.5132567882537842},{"id":"https://openalex.org/keywords/multiple-exposure","display_name":"Multiple exposure","score":0.4880756139755249},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.46061229705810547},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44349756836891174},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3631802797317505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3485504984855652},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.20531675219535828},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.1076948344707489}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7743449807167053},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6908504366874695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6539658308029175},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6250405311584473},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.6037449836730957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5603266358375549},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.5132567882537842},{"id":"https://openalex.org/C2779990520","wikidata":"https://www.wikidata.org/wiki/Q1561409","display_name":"Multiple exposure","level":2,"score":0.4880756139755249},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.46061229705810547},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44349756836891174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3631802797317505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3485504984855652},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.20531675219535828},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.1076948344707489},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2016.13.iqsp-201","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.13.iqsp-201","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/28/13/art00002","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"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":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2352/issn.2470-1173.2016.13.iqsp-201","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.13.iqsp-201","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/28/13/art00002","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"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":"Electronic Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2580677872.pdf","grobid_xml":"https://content.openalex.org/works/W2580677872.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W188378116","https://openalex.org/W1510555363","https://openalex.org/W1971564716","https://openalex.org/W1976689962","https://openalex.org/W2014223894","https://openalex.org/W2040732877","https://openalex.org/W2045918260","https://openalex.org/W2058202968","https://openalex.org/W2073722554","https://openalex.org/W2091214309","https://openalex.org/W2170288257","https://openalex.org/W2240434622","https://openalex.org/W4385490405","https://openalex.org/W6673577783","https://openalex.org/W7020533926"],"related_works":["https://openalex.org/W2144227365","https://openalex.org/W3136079841","https://openalex.org/W2000058449","https://openalex.org/W3142254953","https://openalex.org/W2008675431","https://openalex.org/W2695842582","https://openalex.org/W2620876589","https://openalex.org/W2007651542","https://openalex.org/W1998393535","https://openalex.org/W4385625883"],"abstract_inverted_index":{"This":[0],"study":[1],"aims":[2],"at":[3],"developing":[4],"an":[5,113,131],"image":[6,37,44,75,109],"quality":[7,21,38,65,155],"metric":[8,30,133],"for":[9],"exposure":[10,29,41,82,114,125,142,151,159],"quality,":[11],"with":[12,42,85,112],"a":[13,26,63,98,107],"transform":[14],"to":[15,147,158],"just":[16],"noticeable":[17],"differences":[18],"(JNDs)":[19],"of":[20,35,81,122,140],"in":[22,51,58,69,88,116],"pictorial":[23,47,105],"scenes.":[24],"Such":[25],"perceptually":[27],"calibrated":[28],"would":[31],"allow":[32],"the":[33,52,59,117,120,123,136,141,149,154],"prediction":[34],"overall":[36],"by":[39],"combining":[40],"other":[43],"attributes.":[45],"Eight":[46],"images":[48],"were":[49],"used":[50,146],"study,":[53],"and":[54,97,153],"twenty-one":[55],"observers":[56],"participated":[57],"subjective":[60],"evaluation":[61],"using":[62],"softcopy":[64],"ruler":[66],"method":[67],"defined":[68],"ISO":[70],"20462":[71],"Part":[72],"3.":[73],"The":[74,127],"simulation":[76],"path":[77],"involved":[78],"seven":[79],"levels":[80],"manipulation,":[83],"together":[84],"two":[86],"variations":[87],"tone":[89,94,100],"mapping":[90,95,101],"algorithms":[91],"(a":[92],"global":[93],"algorithm":[96],"local":[99],"algorithm).":[102],"For":[103],"each":[104],"scene":[106,124],"second":[108],"was":[110],"captured":[111],"target":[115,143],"scene,":[118],"allowing":[119],"measurement":[121],"level.":[126],"results":[128],"showed":[129],"that":[130],"objective":[132],"based":[134],"on":[135],"green":[137],"channel":[138],"intensity":[139],"could":[144],"be":[145],"predict":[148],"optimal":[150],"level":[152],"falloff":[156],"due":[157],"error.":[160]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}