{"id":"https://openalex.org/W2768340063","doi":"https://doi.org/10.1109/tip.2017.2774045","title":"End-to-End Blind Image Quality Assessment Using Deep Neural Networks","display_name":"End-to-End Blind Image Quality Assessment Using Deep Neural Networks","publication_year":2017,"publication_date":"2017-11-15","ids":{"openalex":"https://openalex.org/W2768340063","doi":"https://doi.org/10.1109/tip.2017.2774045","mag":"2768340063","pmid":"https://pubmed.ncbi.nlm.nih.gov/29220321"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2774045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2774045","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5020029652","display_name":"Kede Ma","orcid":"https://orcid.org/0000-0001-8608-1128"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Kede Ma","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451385","display_name":"Wentao Liu","orcid":"https://orcid.org/0000-0001-7667-4122"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wentao Liu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323983","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0002-6319-3722"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049650191","display_name":"Zhengfang Duanmu","orcid":"https://orcid.org/0000-0002-6234-3688"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zhengfang Duanmu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420313","display_name":"Zhou Wang","orcid":"https://orcid.org/0000-0003-4413-4441"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zhou Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636655","display_name":"Wangmeng Zuo","orcid":"https://orcid.org/0000-0002-3330-783X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangmeng Zuo","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5020029652"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":14.775,"has_fulltext":false,"cited_by_count":612,"citation_normalized_percentile":{"value":0.99236467,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"27","issue":"3","first_page":"1202","last_page":"1213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9950000047683716,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9947999715805054,"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/computer-science","display_name":"Computer science","score":0.7725391983985901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6666018962860107},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.662844181060791},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6401996612548828},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.5987063646316528},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.5865834355354309},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5258258581161499},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5224772691726685},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5068119168281555},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.5052698254585266},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.44889265298843384},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.44638583064079285},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4226375222206116},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35437220335006714},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3130917251110077},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.13012182712554932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7725391983985901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6666018962860107},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.662844181060791},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6401996612548828},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.5987063646316528},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.5865834355354309},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5258258581161499},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5224772691726685},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5068119168281555},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.5052698254585266},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44889265298843384},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.44638583064079285},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4226375222206116},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35437220335006714},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3130917251110077},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.13012182712554932},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2017.2774045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2774045","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:29220321","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29220321","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1975639197","display_name":null,"funder_award_id":"61671182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W109907426","https://openalex.org/W592072200","https://openalex.org/W1522301498","https://openalex.org/W1580389772","https://openalex.org/W1665214252","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1964357740","https://openalex.org/W1973207880","https://openalex.org/W1974013408","https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W1987489060","https://openalex.org/W1988013646","https://openalex.org/W2013254516","https://openalex.org/W2013422999","https://openalex.org/W2051596736","https://openalex.org/W2068403421","https://openalex.org/W2085518012","https://openalex.org/W2102166818","https://openalex.org/W2107476778","https://openalex.org/W2117539524","https://openalex.org/W2120038204","https://openalex.org/W2126226185","https://openalex.org/W2129644086","https://openalex.org/W2133665775","https://openalex.org/W2142731874","https://openalex.org/W2143901157","https://openalex.org/W2148848374","https://openalex.org/W2151035455","https://openalex.org/W2158564760","https://openalex.org/W2162637870","https://openalex.org/W2162692770","https://openalex.org/W2163370434","https://openalex.org/W2163605009","https://openalex.org/W2170319235","https://openalex.org/W2171349048","https://openalex.org/W2178928294","https://openalex.org/W2194775991","https://openalex.org/W2294857031","https://openalex.org/W2466606639","https://openalex.org/W2473697052","https://openalex.org/W2546302380","https://openalex.org/W2552465432","https://openalex.org/W2556068545","https://openalex.org/W2566149141","https://openalex.org/W2582619308","https://openalex.org/W2618902759","https://openalex.org/W2793368862","https://openalex.org/W2949117887","https://openalex.org/W2962676454","https://openalex.org/W2963285578","https://openalex.org/W2963420948","https://openalex.org/W2963447011","https://openalex.org/W3098560717","https://openalex.org/W3100404621","https://openalex.org/W3100498948","https://openalex.org/W3102733987","https://openalex.org/W6617788180","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6647225686","https://openalex.org/W6667535573","https://openalex.org/W6677873678","https://openalex.org/W6683804306","https://openalex.org/W6684191040","https://openalex.org/W6685562342","https://openalex.org/W6732768714","https://openalex.org/W6749537084","https://openalex.org/W6785242917","https://openalex.org/W6785637376"],"related_works":["https://openalex.org/W4287755480","https://openalex.org/W2895097035","https://openalex.org/W4206903459","https://openalex.org/W2754816816","https://openalex.org/W2896257321","https://openalex.org/W4366280654","https://openalex.org/W3160167280","https://openalex.org/W3020853991","https://openalex.org/W4362706668","https://openalex.org/W4231621013"],"abstract_inverted_index":{"We":[0,122],"propose":[1],"a":[2,25,54,86,91],"multi-task":[3,38],"end-to-end":[4],"optimized":[5],"deep":[6,102],"neural":[7,103],"network":[8,23],"(MEON)":[9],"for":[10,36,59],"blind":[11],"image":[12],"quality":[13,26,87,136],"assessment":[14],"(BIQA).":[15],"MEON":[16,145,162],"consists":[17],"of":[18,80,93,114,161],"two":[19,46],"sub-networks-a":[20],"distortion":[21,55],"identification":[22,57],"and":[24,77],"prediction":[27,88,137],"network-sharing":[28],"the":[29,49,68,73,78,81,94,119,143,158,168],"early":[30,75],"layers.":[31],"Unlike":[32],"traditional":[33],"methods":[34],"used":[35],"training":[37,41,62],"networks,":[39,104],"our":[40],"process":[42],"is":[43,127],"performed":[44],"in":[45],"steps.":[47],"In":[48,67],"first":[50,82],"step,":[51,70],"we":[52,84,105,156],"train":[53,85],"type":[56],"sub-network,":[58,83],"which":[60],"large-scale":[61],"samples":[63],"are":[64],"readily":[65],"available.":[66],"second":[69],"starting":[71],"from":[72,100],"pre-trained":[74],"layers":[76],"outputs":[79],"sub-network":[89],"using":[90,167],"variant":[92],"stochastic":[95],"gradient":[96],"descent":[97],"method.":[98],"Different":[99],"most":[101],"choose":[106],"biologically":[107],"inspired":[108],"generalized":[109],"divisive":[110],"normalization":[111],"(GDN)":[112],"instead":[113],"rectified":[115],"linear":[116],"unit":[117],"as":[118],"activation":[120],"function.":[121],"empirically":[123],"demonstrate":[124,157],"that":[125],"GDN":[126],"effective":[128],"at":[129],"reducing":[130],"model":[131,141],"parameters/layers":[132],"while":[133],"achieving":[134],"similar":[135],"performance.":[138],"With":[139],"modest":[140],"complexity,":[142],"proposed":[144],"index":[146],"achieves":[147],"state-of-the-art":[148,164],"performance":[149],"on":[150],"four":[151],"publicly":[152],"available":[153],"benchmarks.":[154],"Moreover,":[155],"strong":[159],"competitiveness":[160],"against":[163],"BIQA":[165],"models":[166],"group":[169],"maximum":[170],"differentiation":[171],"competition":[172],"methodology.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":72},{"year":2024,"cited_by_count":89},{"year":2023,"cited_by_count":84},{"year":2022,"cited_by_count":90},{"year":2021,"cited_by_count":109},{"year":2020,"cited_by_count":82},{"year":2019,"cited_by_count":51},{"year":2018,"cited_by_count":27}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}