{"id":"https://openalex.org/W2594112328","doi":"https://doi.org/10.1109/tnnls.2017.2649101","title":"Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data","display_name":"Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data","publication_year":2017,"publication_date":"2017-03-06","ids":{"openalex":"https://openalex.org/W2594112328","doi":"https://doi.org/10.1109/tnnls.2017.2649101","mag":"2594112328","pmid":"https://pubmed.ncbi.nlm.nih.gov/28287984"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2017.2649101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2017.2649101","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5044541383","display_name":"Ke Gu","orcid":"https://orcid.org/0000-0001-5540-3235"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Gu","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, BJUT Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5540-3235","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, BJUT Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["Faculty of Engineering and Information Technologies, School of Information Technologies, The University of Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7225-5449","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technologies, School of Information Technologies, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055432844","display_name":"Junfei Qiao","orcid":"https://orcid.org/0000-0002-1707-6074"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-Fei Qiao","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, BJUT Faculty of Information Technology, Beijing University of Technology, Beijing, China","[Beijing Key Laboratory of Computational Intelligence and Intelligent System, BJUT Faculty of Information Technology, Beijing University of Technology, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, BJUT Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"[Beijing Key Laboratory of Computational Intelligence and Intelligent System, BJUT Faculty of Information Technology, Beijing University of Technology, Beijing, China]","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100403129","display_name":"Weisi Lin","orcid":"https://orcid.org/0000-0001-9866-1947"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Weisi Lin","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore","School of Computer Science and Engineering Nanyang Technological University,Singapore"],"raw_orcid":"https://orcid.org/0000-0001-9866-1947","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Science and Engineering Nanyang Technological University,Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":19.8412,"has_fulltext":false,"cited_by_count":446,"citation_normalized_percentile":{"value":0.99739643,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"29","issue":"4","first_page":"1301","last_page":"1313"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9983000159263611,"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":0.9979000091552734,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7648465633392334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7490732073783875},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6941866278648376},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6800956130027771},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6013078093528748},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.542844831943512},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5198938846588135},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5032240748405457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48851072788238525},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.48846927285194397},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.45745623111724854},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.4504672586917877},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.44030943512916565},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4344106912612915},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.31918811798095703}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7648465633392334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490732073783875},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6941866278648376},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6800956130027771},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6013078093528748},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.542844831943512},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5198938846588135},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5032240748405457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48851072788238525},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.48846927285194397},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.45745623111724854},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.4504672586917877},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.44030943512916565},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4344106912612915},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31918811798095703},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2017.2649101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2017.2649101","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:28287984","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28287984","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 neural networks and learning systems","raw_type":"Journal Article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/139879","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/139879","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"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":"Journal Article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/123843","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/123843","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1263465211","display_name":"Multiview Complete Space Learning for Sparse Camera Network Research","funder_award_id":"FT130101457","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G4755683731","display_name":"Nonlinear Transfer Distance Metric Learning for Gleaning Knowledge from the Crowd","funder_award_id":"DP140102164","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G5556617729","display_name":"Interaction Mining for Cyberbullying Detection on Social Networks","funder_award_id":"LP150100671","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1511924373","https://openalex.org/W1545192369","https://openalex.org/W1552073401","https://openalex.org/W1562683879","https://openalex.org/W1566135517","https://openalex.org/W1644173899","https://openalex.org/W1821462560","https://openalex.org/W1962010357","https://openalex.org/W1965952683","https://openalex.org/W1966528181","https://openalex.org/W1969294188","https://openalex.org/W1971014006","https://openalex.org/W1974013408","https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W1984066865","https://openalex.org/W1988649016","https://openalex.org/W1992081487","https://openalex.org/W2000139664","https://openalex.org/W2009763810","https://openalex.org/W2009939901","https://openalex.org/W2015196405","https://openalex.org/W2016622085","https://openalex.org/W2036467384","https://openalex.org/W2037243393","https://openalex.org/W2053186076","https://openalex.org/W2056380823","https://openalex.org/W2057224480","https://openalex.org/W2059283460","https://openalex.org/W2063360098","https://openalex.org/W2066030556","https://openalex.org/W2068403421","https://openalex.org/W2068836533","https://openalex.org/W2092377492","https://openalex.org/W2097415537","https://openalex.org/W2102166818","https://openalex.org/W2112069974","https://openalex.org/W2117117414","https://openalex.org/W2120838001","https://openalex.org/W2121927366","https://openalex.org/W2122787031","https://openalex.org/W2125312659","https://openalex.org/W2128254161","https://openalex.org/W2133665775","https://openalex.org/W2140094223","https://openalex.org/W2141704978","https://openalex.org/W2141983208","https://openalex.org/W2152404931","https://openalex.org/W2152913445","https://openalex.org/W2153635508","https://openalex.org/W2170319235","https://openalex.org/W2170947705","https://openalex.org/W2171349048","https://openalex.org/W2245625259","https://openalex.org/W2285151583","https://openalex.org/W2294624972","https://openalex.org/W2296135906","https://openalex.org/W2300642894","https://openalex.org/W2310059960","https://openalex.org/W2324971623","https://openalex.org/W2342731943","https://openalex.org/W2579658395","https://openalex.org/W3182211633","https://openalex.org/W6640974819","https://openalex.org/W6667535573","https://openalex.org/W6701249984"],"related_works":["https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W598185802","https://openalex.org/W2355516524","https://openalex.org/W2361471170","https://openalex.org/W2025616642","https://openalex.org/W1954972543","https://openalex.org/W2954738200","https://openalex.org/W2019327914","https://openalex.org/W2801208768"],"abstract_inverted_index":{"In":[0,63,91],"this":[1,92],"paper,":[2,93],"we":[3,94,216],"investigate":[4],"into":[5],"the":[6,56,70,88,154,170,209,212],"problem":[7],"of":[8,26,72,87,124,135,156,163,174,211],"image":[9,32,158,195,223],"quality":[10,58,71,116,137,202],"assessment":[11],"(IQA)":[12],"and":[13,31,43,61,128,130,172,184,225,246],"enhancement":[14,66,196],"via":[15],"machine":[16],"learning.":[17],"This":[18],"issue":[19],"has":[20],"long":[21],"attracted":[22],"a":[23,106,133,139,193,228],"wide":[24],"range":[25],"attention":[27],"in":[28],"computational":[29],"intelligence":[30],"processing":[33],"communities,":[34],"since,":[35],"for":[36],"many":[37],"practical":[38],"applications,":[39],"e.g.,":[40],"object":[41],"detection":[42],"recognition,":[44],"raw":[45],"images":[46],"are":[47,82,150],"usually":[48],"needed":[49],"to":[50,54,85,104,220,227],"be":[51,86,253],"appropriately":[52],"enhanced":[53],"raise":[55],"visual":[57,136],"(e.g.,":[59],"visibility":[60],"contrast).":[62],"fact,":[64],"proper":[65,229],"can":[67,237],"noticeably":[68],"improve":[69],"input":[73,206],"images,":[74,80,241,243,245],"even":[75],"better":[76],"than":[77,153],"originally":[78],"captured":[79],"which":[81,142],"generally":[83],"thought":[84],"best":[89],"quality.":[90],"present":[95],"two":[96],"most":[97],"important":[98],"contributions.":[99],"The":[100,161,188,249],"first":[101,118],"contribution":[102,190],"is":[103,143,191,198],"develop":[105],"new":[107],"no-reference":[108],"(NR)":[109],"IQA":[110,186],"model.":[111],"Given":[112],"an":[113,205],"image,":[114,207],"our":[115,175,235],"measure":[117,134],"extracts":[119],"17":[120],"features":[121],"through":[122],"analysis":[123],"contrast,":[125],"sharpness,":[126],"brightness":[127,224],"more,":[129],"then":[131],"yields":[132],"using":[138],"regression":[140],"module,":[141],"learned":[144],"with":[145,179],"big-data":[146],"training":[147],"samples":[148],"that":[149,192,234],"much":[151],"bigger":[152],"size":[155],"relevant":[157],"data":[159,167],"sets.":[160],"results":[162],"experiments":[164],"on":[165,201],"nine":[166],"sets":[168],"validate":[169],"superiority":[171],"efficiency":[173],"blind":[176],"metric":[177],"compared":[178],"typical":[180],"state-of-the-art":[181],"full-reference,":[182],"reduced-reference":[183],"NA":[185],"methods.":[187],"second":[189],"robust":[194],"framework":[197,236],"established":[199],"based":[200],"optimization.":[203],"For":[204],"by":[208],"guidance":[210],"proposed":[213],"NR-IQA":[214],"measure,":[215],"conduct":[217],"histogram":[218],"modification":[219],"successively":[221],"rectify":[222],"contrast":[226],"level.":[230],"Thorough":[231],"tests":[232],"demonstrate":[233],"well":[238],"enhance":[239],"natural":[240],"low-contrast":[242],"low-light":[244],"dehazed":[247],"images.":[248],"source":[250],"code":[251],"will":[252],"released":[254],"at":[255],"https://sites.google.com/site/guke198701/publications.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":48},{"year":2023,"cited_by_count":49},{"year":2022,"cited_by_count":52},{"year":2021,"cited_by_count":74},{"year":2020,"cited_by_count":58},{"year":2019,"cited_by_count":45},{"year":2018,"cited_by_count":45},{"year":2017,"cited_by_count":35}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}