{"id":"https://openalex.org/W2058202968","doi":"https://doi.org/10.1117/1.3271133","title":"Slider-adjusted softcopy ruler for calibrated image quality assessment","display_name":"Slider-adjusted softcopy ruler for calibrated image quality assessment","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2058202968","doi":"https://doi.org/10.1117/1.3271133","mag":"2058202968"},"language":"en","primary_location":{"id":"doi:10.1117/1.3271133","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.3271133","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","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/A5037457415","display_name":"E. Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Elaine W. Jin","raw_affiliation_strings":["Aptina Imaging Corp. (United States)","Aptina, LLC, 3080 North First Street, San Jose, California 95134"],"affiliations":[{"raw_affiliation_string":"Aptina Imaging Corp. (United States)","institution_ids":[]},{"raw_affiliation_string":"Aptina, LLC, 3080 North First Street, San Jose, California 95134","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5037457415"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3187,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.5990449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"19","issue":"1","first_page":"011009","last_page":"011009"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9973999857902527,"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":0.9973999857902527,"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9811999797821045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ruler","display_name":"Ruler","score":0.9406031370162964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7338301539421082},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6481590867042542},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4965839982032776},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40179532766342163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39824599027633667},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.36350810527801514},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1582571566104889}],"concepts":[{"id":"https://openalex.org/C165743212","wikidata":"https://www.wikidata.org/wiki/Q104555","display_name":"Ruler","level":2,"score":0.9406031370162964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7338301539421082},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6481590867042542},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4965839982032776},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40179532766342163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39824599027633667},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.36350810527801514},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1582571566104889},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/1.3271133","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.3271133","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5899999737739563}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1556040028","https://openalex.org/W2006706861","https://openalex.org/W2022880770","https://openalex.org/W2024415937","https://openalex.org/W2040732877","https://openalex.org/W2084288820","https://openalex.org/W2088350240","https://openalex.org/W2241596200","https://openalex.org/W3121536841","https://openalex.org/W4238116188"],"related_works":["https://openalex.org/W2375237205","https://openalex.org/W4390263629","https://openalex.org/W4250214934","https://openalex.org/W2350235969","https://openalex.org/W2314732661","https://openalex.org/W2483832295","https://openalex.org/W3127753944","https://openalex.org/W2353018298","https://openalex.org/W2385404552","https://openalex.org/W4233383084"],"abstract_inverted_index":{"ISO":[0,110],"20462":[1,111],"part":[2],"3":[3],"standardized":[4],"the":[5,36,39,44,53,87,91,105,163,196],"hardcopy":[6],"quality":[7,12,37,107,119,187],"ruler":[8,13,26,40,155,188],"and":[9,142,157,193],"a":[10,16,31,64,83,95,143,148,173],"softcopy":[11,25,154,186],"based":[14],"on":[15],"binary":[17],"sort":[18],"approach":[19],"involving":[20],"paired":[21],"comparisons.":[22],"The":[23,136],"new":[24],"method":[27],"described":[28],"here":[29],"utilizes":[30],"slider":[32],"bar":[33],"to":[34,41,50,59,73,162,184,198],"match":[35],"of":[38,43,67,71,90,98,109,125],"that":[42,152],"test":[45],"image,":[46],"which":[47],"is":[48],"found":[49],"substantially":[51],"reduce":[52,195],"time":[54],"required":[55],"per":[56],"assessment":[57],"(30":[58],"15.5":[60],"s),":[61],"with":[62,140,172,190],"only":[63],"modest":[65],"loss":[66],"precision":[68],"(standard":[69],"deviations":[70],"2.5":[72],"2.9":[74],"just":[75],"noticeable":[76],"differences).":[77],"In":[78,170],"combination,":[79],"these":[80,158,179],"metrics":[81],"implied":[82],"20%":[84],"improvement":[85],"in":[86,94],"standard":[88,106],"error":[89],"mean":[92],"achievable":[93],"fixed":[96],"amount":[97],"judging":[99],"time.":[100],"Ruler":[101],"images":[102,137],"calibrated":[103,200],"against":[104],"scale":[108],"are":[112,130,138,160],"generated":[113],"for":[114,147,168],"21":[115],"scenes,":[116],"at":[117],"31":[118],"levels":[120],"each,":[121],"achieved":[122],"through":[123],"variation":[124],"sharpness,":[126],"while":[127],"other":[128],"attributes":[129],"held":[131],"near":[132],"their":[133],"preferred":[134],"positions.":[135],"bundled":[139],"documentation":[141],"MATLAB":[144],"source":[145],"code":[146],"graphical":[149],"user":[150],"interface":[151],"administers":[153],"experiments,":[156],"materials":[159,180],"donated":[161],"International":[164],"Imaging":[165],"Industry":[166],"Association":[167],"distribution.":[169],"conjunction":[171],"specified":[174],"large":[175],"flat":[176],"panel":[177],"display,":[178],"should":[181,194],"enable":[182],"users":[183],"conduct":[185],"experiments":[189],"minimum":[191],"effort,":[192],"barriers":[197],"performing":[199],"psychophysical":[201],"measurements.":[202]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}