{"id":"https://openalex.org/W2295706819","doi":"https://doi.org/10.1109/icip.2015.7351203","title":"Image quality evaluation using image quality ruler and graphical model","display_name":"Image quality evaluation using image quality ruler and graphical model","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2295706819","doi":"https://doi.org/10.1109/icip.2015.7351203","mag":"2295706819"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5014882421","display_name":"Weibao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Weibao Wang","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043967979","display_name":"Jan P. Allebach","orcid":"https://orcid.org/0000-0001-5608-8249"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jan Allebach","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038064028","display_name":"Yandong Guo","orcid":"https://orcid.org/0000-0002-4594-8415"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yandong Guo","raw_affiliation_strings":["Microsoft Research Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014882421"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.9205,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83070919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2256","last_page":"2259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.8949999809265137,"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":0.8949999809265137,"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/image-quality","display_name":"Image quality","score":0.7729663848876953},{"id":"https://openalex.org/keywords/ruler","display_name":"Ruler","score":0.6969027519226074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.653591513633728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6316579580307007},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.6261938214302063},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5452462434768677},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5077496767044067},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5024266242980957},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.46826818585395813},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.4308534860610962},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41798123717308044},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2858089804649353},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.10107073187828064},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.08373284339904785},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.07308980822563171},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06584522128105164}],"concepts":[{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.7729663848876953},{"id":"https://openalex.org/C165743212","wikidata":"https://www.wikidata.org/wiki/Q104555","display_name":"Ruler","level":2,"score":0.6969027519226074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.653591513633728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6316579580307007},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.6261938214302063},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5452462434768677},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5077496767044067},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5024266242980957},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.46826818585395813},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.4308534860610962},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41798123717308044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2858089804649353},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.10107073187828064},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.08373284339904785},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.07308980822563171},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06584522128105164},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"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/W3194862240","https://openalex.org/W2782916784","https://openalex.org/W4206325381","https://openalex.org/W2295706819","https://openalex.org/W2043597472","https://openalex.org/W4226186675","https://openalex.org/W54224318","https://openalex.org/W2552902349","https://openalex.org/W2104070163","https://openalex.org/W2896263975"],"abstract_inverted_index":{"Quantifying":[0],"image":[1,10,15,63,69,95],"quality":[2,11,16,53,64,70,84],"through":[3],"subjective":[4],"evaluation":[5,65],"is":[6],"very":[7],"critical":[8],"to":[9,107,144,152],"evaluation.":[12],"Using":[13],"the":[14,29,50,68,83,86,89,92,136,139,147],"ruler":[17,71],"method,":[18],"an":[19,62],"average":[20],"score":[21],"per":[22],"stimulus":[23],"can":[24,141],"be":[25],"easily":[26],"obtained":[27],"in":[28],"unit":[30],"of":[31,42,54,88,94,129,138],"Just":[32],"Noticeable":[33],"Differences":[34],"(JNDs).":[35],"However,":[36],"it":[37],"requires":[38],"a":[39,74,126],"large":[40,127],"number":[41,128],"subjects,":[43,90],"since":[44],"pure":[45],"averaging":[46],"does":[47],"not":[48],"consider":[49,82],"different":[51,55],"judging":[52],"subjects.":[56,130],"In":[57],"this":[58,79],"paper,":[59],"we":[60,81,103,116],"propose":[61],"framework":[66],"using":[67,125],"method":[72,120],"with":[73],"statistical":[75],"model.":[76],"By":[77],"incorporating":[78],"model,":[80],"score,":[85],"expertise":[87],"and":[91],"difficulty":[93],"rating":[96],"task":[97],"as":[98],"three":[99],"hidden":[100,110],"variables.":[101,111],"Then":[102],"use":[104],"expectation-maximization":[105],"(EM)":[106],"estimate":[108],"these":[109],"From":[112],"our":[113,119],"experimental":[114],"results,":[115],"show":[117],"that":[118,135],"provides":[121],"reliable":[122],"results":[123,132],"without":[124],"Preliminary":[131],"also":[133],"demonstrate":[134],"estimates":[137],"parameters":[140],"guide":[142],"us":[143],"better":[145],"distribute":[146],"valuable":[148],"human":[149],"resources":[150],"used":[151],"conduct":[153],"psychophysical":[154],"experiments.":[155]},"counts_by_year":[{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
