{"id":"https://openalex.org/W2584426176","doi":"https://doi.org/10.2352/issn.2470-1173.2017.12.iqsp-223","title":"MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality Estimation","display_name":"MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality Estimation","publication_year":2017,"publication_date":"2017-01-29","ids":{"openalex":"https://openalex.org/W2584426176","doi":"https://doi.org/10.2352/issn.2470-1173.2017.12.iqsp-223","mag":"2584426176"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2017.12.iqsp-223","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.12.iqsp-223","pdf_url":null,"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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1811.08947","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mohit Prabhushankar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohit Prabhushankar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Dogancan Temel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dogancan Temel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Ghassan AlRegib","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ghassan AlRegib","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0161,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.84842848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"29","issue":"12","first_page":"30","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9940999746322632,"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":0.9940999746322632,"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/T11019","display_name":"Image Enhancement Techniques","score":0.0019000000320374966,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.00139999995008111,"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/estimator","display_name":"Estimator","score":0.6455000042915344},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5878999829292297},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5350000262260437},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5235000252723694},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.5163999795913696},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4453999996185303},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3682999908924103}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.737500011920929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7208999991416931},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6455000042915344},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5878999829292297},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5350000262260437},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5235000252723694},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.5163999795913696},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5002999901771545},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4453999996185303},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.33809998631477356},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3158999979496002},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.26179999113082886},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.2522999942302704}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2352/issn.2470-1173.2017.12.iqsp-223","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.12.iqsp-223","pdf_url":null,"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"},{"id":"pmh:oai:arXiv.org:1811.08947","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.08947","pdf_url":"https://arxiv.org/pdf/1811.08947","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1811.08947","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.08947","pdf_url":"https://arxiv.org/pdf/1811.08947","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,18],"train":[4],"independent":[5],"linear":[6,47],"decoder":[7],"models":[8],"to":[9,27,49,87],"estimate":[10],"the":[11,20,30,38,55,69,89,92,101,104,113,123,139,145],"perceived":[12],"quality":[13,96,108,148],"of":[14,22,29,41,54,91,112,122,128],"images.":[15],"More":[16],"specifically,":[17],"calculate":[19],"responses":[21,35],"individual":[23],"non-overlapping":[24],"image":[25,56,66,107],"patches":[26,67,86],"each":[28,59],"decoders":[31,48],"and":[32,79,103,132],"scale":[33],"these":[34,85],"based":[36],"on":[37,64,100,136],"sharpness":[39],"characteristics":[40],"filter":[42],"set.":[43],"We":[44],"use":[45],"multiple":[46],"capture":[50],"different":[51],"abstraction":[52],"levels":[53],"patches.":[57],"Training":[58],"model":[60],"is":[61,98,116,142],"carried":[62],"out":[63],"100,000":[65],"from":[68],"ImageNet":[70],"database":[71],"in":[72,126,150],"an":[73],"unsupervised":[74],"fashion.":[75],"Color":[76],"space":[77],"selection":[78],"ZCA":[80],"Whitening":[81],"are":[82],"performed":[83],"over":[84],"enhance":[88],"descriptiveness":[90],"data.":[93],"The":[94],"proposed":[95,114,140],"estimator":[97],"tested":[99],"LIVE":[102],"TID":[105],"2013":[106],"assessment":[109],"databases.":[110],"Performance":[111],"method":[115,141],"compared":[117],"against":[118],"eleven":[119],"other":[120],"state":[121],"art":[124],"methods":[125],"terms":[127],"accuracy,":[129],"consistency,":[130],"linearity,":[131],"monotonic":[133],"behavior.":[134],"Based":[135],"experimental":[137],"results,":[138],"generally":[143],"among":[144],"top":[146],"performing":[147],"estimators":[149],"all":[151],"categories.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2017-02-10T00:00:00"}
