{"id":"https://openalex.org/W4210800005","doi":"https://doi.org/10.1109/tai.2022.3146804","title":"No-Reference Image Quality Assessment via Multibranch Convolutional Neural Networks","display_name":"No-Reference Image Quality Assessment via Multibranch Convolutional Neural Networks","publication_year":2022,"publication_date":"2022-01-27","ids":{"openalex":"https://openalex.org/W4210800005","doi":"https://doi.org/10.1109/tai.2022.3146804"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2022.3146804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2022.3146804","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","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/A5058087031","display_name":"Zhaoqing Pan","orcid":"https://orcid.org/0000-0003-1390-399X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoqing Pan","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-1390-399X","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Feng Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yuan","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407860","display_name":"Xu Wang","orcid":"https://orcid.org/0000-0002-2948-6468"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Wang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2948-6468","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100647349","display_name":"Long Xu","orcid":"https://orcid.org/0000-0002-9286-2876"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210164580","display_name":"National Astronomical Observatories","ror":"https://ror.org/058pyyv44","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210164580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Xu","raw_affiliation_strings":["Key Laboratory of Solar Activity, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9286-2876","affiliations":[{"raw_affiliation_string":"Key Laboratory of Solar Activity, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210164580","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001179458","display_name":"Xiao Shao","orcid":"https://orcid.org/0000-0003-1194-240X"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Shao","raw_affiliation_strings":["School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-7484-7261","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6004,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.95988294,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"4","issue":"1","first_page":"148","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9962999820709229,"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"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9902999997138977,"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/computer-science","display_name":"Computer science","score":0.755094051361084},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7167125940322876},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7035782933235168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6132546663284302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6057010889053345},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5835493803024292},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5733107924461365},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5577265024185181},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4969318211078644},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4922002851963043},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3448706269264221},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3289545178413391},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1272733211517334}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.755094051361084},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7167125940322876},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7035782933235168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6132546663284302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6057010889053345},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5835493803024292},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5733107924461365},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5577265024185181},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4969318211078644},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4922002851963043},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3448706269264221},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3289545178413391},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1272733211517334},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2022.3146804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2022.3146804","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1908072989","display_name":"\u57fa\u4e8e\u89c6\u89c9\u611f\u77e5\u7684\u9ad8\u65483D\u5168\u666f\u89c6\u9891\u7f16\u7801\u538b\u7f29\u7814\u7a76","funder_award_id":"61871270","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4573418585","display_name":null,"funder_award_id":"61971232","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G712345081","display_name":null,"funder_award_id":"JCYJ20200109110410133","funder_id":"https://openalex.org/F4320316880","funder_display_name":"Natural Science Foundation of Shenzhen City"},{"id":"https://openalex.org/G974405014","display_name":null,"funder_award_id":"20200812110350001","funder_id":"https://openalex.org/F4320316880","funder_display_name":"Natural Science Foundation of Shenzhen City"}],"funders":[{"id":"https://openalex.org/F4320316880","display_name":"Natural Science Foundation of Shenzhen City","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1677182931","https://openalex.org/W1974013408","https://openalex.org/W1977246677","https://openalex.org/W1979451680","https://openalex.org/W1982471090","https://openalex.org/W1987489060","https://openalex.org/W2008051965","https://openalex.org/W2018764866","https://openalex.org/W2019377328","https://openalex.org/W2046119925","https://openalex.org/W2051596736","https://openalex.org/W2069737080","https://openalex.org/W2098580305","https://openalex.org/W2102166818","https://openalex.org/W2118985252","https://openalex.org/W2124562516","https://openalex.org/W2129644086","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2142884912","https://openalex.org/W2162692770","https://openalex.org/W2170947705","https://openalex.org/W2171349048","https://openalex.org/W2294857031","https://openalex.org/W2473697052","https://openalex.org/W2482538450","https://openalex.org/W2516567676","https://openalex.org/W2546855109","https://openalex.org/W2556068545","https://openalex.org/W2563786098","https://openalex.org/W2565639579","https://openalex.org/W2566149141","https://openalex.org/W2601209352","https://openalex.org/W2743390484","https://openalex.org/W2751699067","https://openalex.org/W2767356570","https://openalex.org/W2768340063","https://openalex.org/W2792845633","https://openalex.org/W2793307305","https://openalex.org/W2889665196","https://openalex.org/W2896184058","https://openalex.org/W2903193781","https://openalex.org/W2906729185","https://openalex.org/W3035557850","https://openalex.org/W3035719652","https://openalex.org/W3036239693","https://openalex.org/W3199532396","https://openalex.org/W6779428630"],"related_works":["https://openalex.org/W3082848404","https://openalex.org/W1979583797","https://openalex.org/W2016864125","https://openalex.org/W2372254676","https://openalex.org/W2080135837","https://openalex.org/W2793679056","https://openalex.org/W4283332091","https://openalex.org/W3145050838","https://openalex.org/W2393154870","https://openalex.org/W3141979996"],"abstract_inverted_index":{"No-reference":[0],"image":[1,8,166],"quality":[2,9],"assessment":[3],"(NR-IQA)":[4],"aims":[5,77],"to":[6,28,39,78,93,99,103,121,134,151],"evaluate":[7],"without":[10],"using":[11],"the":[12,17,80,84,95,104,107,111,116,127,136,141,153,158,169,175,191,196,201,206],"original":[13],"reference":[14],"images.":[15],"Since":[16],"early":[18],"NR-IQA":[19,43,55,198,211],"methods":[20],"based":[21,54],"on":[22,177],"distortion":[23,30,81],"types":[24],"were":[25],"only":[26],"applicable":[27],"specific":[29],"scenarios,":[31],"and":[32,69,126,163,186,190],"lack":[33],"of":[34,106,140,208],"practicality,":[35],"it":[36],"is":[37,57,91,149],"challenging":[38],"designing":[40],"a":[41,48,61,65,70,146],"universal":[42],"method.":[44,212],"In":[45,144],"this":[46],"article,":[47],"multibranch":[49],"convolutional":[50],"neural":[51],"network":[52],"(MB-CNN)":[53],"method":[56,199],"proposed,":[58],"which":[59,204],"includes":[60],"spatial-domain":[62,74,96,112],"feature":[63,67,75,89,97,113,118,124,129],"extractor,":[64,68],"gradient-domain":[66,88,128],"weight":[71,154],"mechanism.":[72],"The":[73,87,213],"extractor":[76,90,98,114,130],"extract":[79,135],"features":[82],"from":[83],"spatial":[85],"domain.":[86],"used":[92],"guide":[94],"pay":[100],"more":[101],"attention":[102],"distortions":[105],"structure":[108,138],"information.":[109],"Particularly,":[110],"uses":[115,131],"hierarchical":[117],"merge":[119],"module":[120],"realize":[122],"multiscale":[123,137],"representation,":[125],"pyramidal":[132],"convolution":[133],"information":[139],"distorted":[142],"image.":[143],"addition,":[145],"position":[147,159],"vector":[148],"proposed":[150,197,210,216],"build":[152],"mechanism":[155],"by":[156],"considering":[157],"relationships":[160],"between":[161],"patches":[162],"its":[164],"entire":[165],"for":[167],"improving":[168],"final":[170],"prediction":[171],"performance.":[172],"We":[173],"conduct":[174],"experiments":[176],"five":[178],"representative":[179],"databases:":[180],"LIVE,":[181],"TID2013,":[182],"CSIQ,":[183],"LIVE":[184],"MD":[185],"Waterloo":[187],"Exploration":[188],"Database,":[189],"experimental":[192],"results":[193],"show":[194],"that":[195],"achieves":[200],"state-of-the-art":[202],"performance,":[203],"demonstrate":[205],"effectiveness":[207],"our":[209],"code":[214],"ofthe":[215],"MB-CNN":[217],"will":[218],"be":[219],"released":[220],"at":[221],"<uri":[222],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[223],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/NUIST-Videocoding/MB-CNN</uri>":[224],".":[225]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}