{"id":"https://openalex.org/W2920767196","doi":"https://doi.org/10.1109/tmm.2019.2902484","title":"Multi-Channel Decomposition in Tandem With Free-Energy Principle for Reduced-Reference Image Quality Assessment","display_name":"Multi-Channel Decomposition in Tandem With Free-Energy Principle for Reduced-Reference Image Quality Assessment","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2920767196","doi":"https://doi.org/10.1109/tmm.2019.2902484","mag":"2920767196"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2019.2902484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2902484","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5086182464","display_name":"Wenhan Zhu","orcid":"https://orcid.org/0000-0001-8781-1110"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenhan Zhu","raw_affiliation_strings":["MoE Key Laboratory of Artificial Intelligence, Artificial Intelligence Institute and with the Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Artificial Intelligence, Artificial Intelligence Institute and with the Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064168853","display_name":"Guangtao Zhai","orcid":"https://orcid.org/0000-0001-8165-9322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangtao Zhai","raw_affiliation_strings":["MoE Key Laboratory of Artificial Intelligence, Artificial Intelligence Institute and with the Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Artificial Intelligence, Artificial Intelligence Institute and with the Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043405654","display_name":"Xiongkuo Min","orcid":"https://orcid.org/0000-0001-5693-0416"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongkuo Min","raw_affiliation_strings":["MoE Key Laboratory of Artificial Intelligence, Artificial Intelligence Institute and with the Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Artificial Intelligence, Artificial Intelligence Institute and with the Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058455658","display_name":"Menghan Hu","orcid":"https://orcid.org/0000-0002-8557-8930"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Menghan Hu","raw_affiliation_strings":["Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375136","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0003-4690-1886"},"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":"Jing Liu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"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/A5085022758","display_name":"Guodong Guo","orcid":"https://orcid.org/0000-0001-9583-0055"},"institutions":[{"id":"https://openalex.org/I4210129579","display_name":"National Engineering Laboratory of Deep Learning Technology and Application","ror":"https://ror.org/03z8p5796","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129579"]},{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Guo","raw_affiliation_strings":["Institute of Deep Learning, Baidu Research and with the National Engineering Laboratory for Deep Learning Technology and Application, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Deep Learning, Baidu Research and with the National Engineering Laboratory for Deep Learning Technology and Application, Beijing, China","institution_ids":["https://openalex.org/I4210129579","https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019708391","display_name":"Xiaokang Yang","orcid":"https://orcid.org/0000-0003-4029-3322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Yang","raw_affiliation_strings":["MoE Key Laboratory of Artificial Intelligence, Artificial Intelligence Institute and with the Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Artificial Intelligence, Artificial Intelligence Institute and with the Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5086182464"],"corresponding_institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210100255"],"apc_list":null,"apc_paid":null,"fwci":2.4519,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.91407223,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"21","issue":"9","first_page":"2334","last_page":"2346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"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":1.0,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.989300012588501,"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":0.7715392112731934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6933399438858032},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5409458875656128},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.5332165956497192},{"id":"https://openalex.org/keywords/visual-cortex","display_name":"Visual cortex","score":0.5291383862495422},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.518124520778656},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5056161880493164},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.466587096452713},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45035725831985474},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.41116881370544434},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.2825019359588623},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1830921173095703},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12268427014350891},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09481772780418396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7715392112731934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6933399438858032},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5409458875656128},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.5332165956497192},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.5291383862495422},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.518124520778656},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5056161880493164},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.466587096452713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45035725831985474},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.41116881370544434},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2825019359588623},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1830921173095703},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12268427014350891},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09481772780418396},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2019.2902484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2902484","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G4054117750","display_name":null,"funder_award_id":"61831015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6088092935","display_name":null,"funder_award_id":"61521062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G639214180","display_name":null,"funder_award_id":"61527804","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7004927222","display_name":null,"funder_award_id":"18DZ1112300","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G7277996951","display_name":null,"funder_award_id":"2016YFB1001003","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8437887057","display_name":null,"funder_award_id":"BX20180197","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1580389772","https://openalex.org/W1594551768","https://openalex.org/W1973207880","https://openalex.org/W1974013408","https://openalex.org/W1984066865","https://openalex.org/W1987489060","https://openalex.org/W1990873664","https://openalex.org/W2009272644","https://openalex.org/W2037243393","https://openalex.org/W2046119925","https://openalex.org/W2057224480","https://openalex.org/W2063360098","https://openalex.org/W2068707865","https://openalex.org/W2089190525","https://openalex.org/W2102166818","https://openalex.org/W2108020239","https://openalex.org/W2114582993","https://openalex.org/W2117804578","https://openalex.org/W2127271355","https://openalex.org/W2128803215","https://openalex.org/W2129644086","https://openalex.org/W2133251102","https://openalex.org/W2133665775","https://openalex.org/W2142731874","https://openalex.org/W2148764920","https://openalex.org/W2158546915","https://openalex.org/W2161920802","https://openalex.org/W2162915697","https://openalex.org/W2166982406","https://openalex.org/W2171349048","https://openalex.org/W2509452237","https://openalex.org/W2510574897","https://openalex.org/W2516567676","https://openalex.org/W2559038109","https://openalex.org/W2579658395","https://openalex.org/W2626610348","https://openalex.org/W2735448770","https://openalex.org/W2738692335","https://openalex.org/W2743390484","https://openalex.org/W2767136499","https://openalex.org/W2777280533","https://openalex.org/W2794680924","https://openalex.org/W2803727098","https://openalex.org/W2894938704","https://openalex.org/W3119339177","https://openalex.org/W3182211633","https://openalex.org/W4293857795","https://openalex.org/W4388252848","https://openalex.org/W6634589695","https://openalex.org/W6647225686","https://openalex.org/W6798736878"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2046633342","https://openalex.org/W2292083403","https://openalex.org/W2364766777"],"abstract_inverted_index":{"The":[0],"visual":[1,16,68,92,106],"quality":[2,49,128,178,194],"of":[3,11,47,70,90],"perceptions":[4],"is":[5,32,130,142,165,180,206],"highly":[6,207],"correlated":[7],"with":[8,209],"the":[9,12,19,36,45,55,61,67,71,75,98,102,109,123,146,155,159,162,169,176,183,203,210],"mechanisms":[10],"human":[13,42,72,160],"brain":[14,28],"and":[15,30,39,80,87,101,149,199,213],"system.":[17],"Recently,":[18],"free-energy":[20,56,125],"principle,":[21],"which":[22],"has":[23],"been":[24],"widely":[25],"researched":[26],"in":[27,41,97,108,132,158,172],"theory":[29],"neuroscience,":[31],"introduced":[33],"to":[34,60,65,144,153,167],"quantize":[35],"perception,":[37],"action,":[38],"learning":[40],"brain.":[43],"In":[44],"field":[46],"image":[48,193],"assessment":[50],"(IQA),":[51],"on":[52,190],"one":[53,91],"hand,":[54,77],"principle":[57],"can":[58],"resort":[59],"internal":[62],"generative":[63,156],"model":[64,157],"simulate":[66,154],"stimulus":[69,93],"beings.":[73],"On":[74],"other":[76],"abundant":[78],"psychological":[79],"neurobiological":[81],"studies":[82],"reveal":[83],"that":[84,202],"different":[85,95],"frequency":[86],"orientation":[88],"components":[89],"arouse":[94],"neurons":[96],"striate":[99,103],"cortex,":[100],"cortex":[104],"processes":[105],"information":[107],"cerebral":[110],"cortex.":[111],"Motivated":[112],"by":[113],"these":[114],"two":[115],"aspects,":[116],"a":[117,136],"novel":[118],"reduce-reference":[119],"IQA":[120],"metric":[121,129,179],"called":[122],"multi-channel":[124],"based":[126],"reduced-reference":[127,212],"proposed":[131,204],"this":[133],"paper.":[134],"First,":[135],"two-level":[137],"discrete":[138],"Haar":[139],"wavelet":[140],"transform":[141],"used":[143],"decompose":[145],"input":[147],"reference":[148],"distorted":[150],"images.":[151,174],"Next,":[152],"brain,":[161],"sparse":[163],"representation":[164],"leveraged":[166],"extract":[168],"free-energy-based":[170],"features":[171],"subband":[173],"Finally,":[175],"overall":[177],"obtained":[181],"through":[182],"support":[184],"vector":[185],"regressor.":[186],"Extensive":[187],"experimental":[188],"comparisons":[189],"four":[191],"benchmark":[192],"databases":[195],"(LIVE,":[196],"CSIQ,":[197],"TID2008,":[198],"TID2013)":[200],"demonstrate":[201],"method":[205],"competitive":[208],"representative":[211],"classical":[214],"full-reference":[215],"models.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}