{"id":"https://openalex.org/W2610808748","doi":"https://doi.org/10.1109/pcs.2016.7906376","title":"Neural network-based full-reference image quality assessment","display_name":"Neural network-based full-reference image quality assessment","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2610808748","doi":"https://doi.org/10.1109/pcs.2016.7906376","mag":"2610808748"},"language":"en","primary_location":{"id":"doi:10.1109/pcs.2016.7906376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2016.7906376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Picture Coding Symposium (PCS)","raw_type":"proceedings-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/A5020506776","display_name":"Sebastian Bosse","orcid":"https://orcid.org/0000-0002-8104-3904"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sebastian Bosse","raw_affiliation_strings":["Department of Video Coding & Analytics, Fraunhofer Heinrich Hertz Institute, 10587 Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Video Coding & Analytics, Fraunhofer Heinrich Hertz Institute, 10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087779646","display_name":"Dominique Maniry","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dominique Maniry","raw_affiliation_strings":["Department of Video Coding & Analytics, Fraunhofer Heinrich Hertz Institute, 10587 Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Video Coding & Analytics, Fraunhofer Heinrich Hertz Institute, 10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107838719","display_name":"Klaus\u2010Robert M\u00fcller","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Klaus-Robert Muller","raw_affiliation_strings":["Department of Brain and Cognitive Engineering, Korea University, Anam-dong, Seongbuk-gu, Seoul 136-713, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Engineering, Korea University, Anam-dong, Seongbuk-gu, Seoul 136-713, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034084717","display_name":"Thomas Wiegand","orcid":"https://orcid.org/0000-0002-1121-2581"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Wiegand","raw_affiliation_strings":["Department of Video Coding & Analytics, Fraunhofer Heinrich Hertz Institute, 10587 Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Video Coding & Analytics, Fraunhofer Heinrich Hertz Institute, 10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026451495","display_name":"Wojciech Samek","orcid":"https://orcid.org/0000-0002-6283-3265"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wojciech Samek","raw_affiliation_strings":["Department of Video Coding & Analytics, Fraunhofer Heinrich Hertz Institute, 10587 Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Video Coding & Analytics, Fraunhofer Heinrich Hertz Institute, 10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020506776"],"corresponding_institution_ids":["https://openalex.org/I2800274787"],"apc_list":null,"apc_paid":null,"fwci":2.5338,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.93368364,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9927999973297119,"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":0.9847999811172485,"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/pooling","display_name":"Pooling","score":0.8136337995529175},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7961639165878296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.774263858795166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7328766584396362},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7193185091018677},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6851017475128174},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6456020474433899},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.6118266582489014},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5796955227851868},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.573261559009552},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.5067177414894104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4663378894329071},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43089672923088074},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33460408449172974}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8136337995529175},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7961639165878296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.774263858795166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7328766584396362},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7193185091018677},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6851017475128174},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6456020474433899},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.6118266582489014},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5796955227851868},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.573261559009552},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.5067177414894104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4663378894329071},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43089672923088074},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33460408449172974},{"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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/pcs.2016.7906376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2016.7906376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-502657","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-502657.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer HHI","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/401940","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/401940","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1527289589","https://openalex.org/W1607233498","https://openalex.org/W1686810756","https://openalex.org/W1787224781","https://openalex.org/W1922292441","https://openalex.org/W1964859077","https://openalex.org/W1973175507","https://openalex.org/W1987489060","https://openalex.org/W1997974943","https://openalex.org/W2026535994","https://openalex.org/W2046119925","https://openalex.org/W2051596736","https://openalex.org/W2089190525","https://openalex.org/W2095705004","https://openalex.org/W2115416470","https://openalex.org/W2117539524","https://openalex.org/W2117952021","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2150477292","https://openalex.org/W2168023013","https://openalex.org/W2481798478","https://openalex.org/W2509123681","https://openalex.org/W2512580201","https://openalex.org/W2962835968","https://openalex.org/W2964231383","https://openalex.org/W6631959848","https://openalex.org/W6637373629","https://openalex.org/W6647225686","https://openalex.org/W6674330103","https://openalex.org/W6684791271","https://openalex.org/W6721448084"],"related_works":["https://openalex.org/W1585338487","https://openalex.org/W1997117005","https://openalex.org/W1562127107","https://openalex.org/W2289086982","https://openalex.org/W3194862240","https://openalex.org/W2506963199","https://openalex.org/W4206325381","https://openalex.org/W2295706819","https://openalex.org/W2161907179","https://openalex.org/W2043597472"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,13,63],"full-reference":[4],"(FR)":[5],"image":[6,27],"quality":[7,33,78],"assessment":[8],"(IQA)":[9],"method":[10],"based":[11],"on":[12,99],"deep":[14],"convolutional":[15],"neural":[16],"network":[17],"(CNN).":[18],"The":[19,50,68],"CNN":[20,51],"extracts":[21],"features":[22],"from":[23],"distorted":[24,36],"and":[25,29,40,56,85,91,102],"reference":[26],"patches":[28],"estimates":[30],"the":[31,35,42,76,100],"perceived":[32],"of":[34,53],"ones":[37],"by":[38,62,74],"combining":[39],"regressing":[41],"feature":[43,82],"vectors":[44],"using":[45],"two":[46,86],"fully":[47],"connected":[48],"layers.":[49],"consists":[52],"12":[54],"convolution":[55],"max-pooling":[57],"layers;":[58],"activation":[59,65],"is":[60,72],"done":[61],"rectifier":[64],"function":[66],"(ReLU).":[67],"overall":[69],"IQA":[70,114],"score":[71],"computed":[73],"aggregating":[75],"patch":[77],"estimates.":[79],"Three":[80],"different":[81],"combination":[83],"methods":[84,115],"aggregation":[87],"approaches":[88],"are":[89,97,116],"proposed":[90],"evaluated":[92],"in":[93],"this":[94],"paper.":[95],"Experiments":[96],"performed":[98],"LIVE":[101],"TID2013":[103],"databases.":[104],"On":[105],"both":[106],"databases":[107],"linear":[108],"Pearson":[109],"correlations":[110],"superior":[111],"to":[112],"state-of-the-art":[113],"achieved.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
