{"id":"https://openalex.org/W2979856523","doi":"https://doi.org/10.1109/tip.2019.2944079","title":"Efficient Evaluation of Image Quality via Deep-Learning Approximation of Perceptual Metrics","display_name":"Efficient Evaluation of Image Quality via Deep-Learning Approximation of Perceptual Metrics","publication_year":2019,"publication_date":"2019-10-07","ids":{"openalex":"https://openalex.org/W2979856523","doi":"https://doi.org/10.1109/tip.2019.2944079","mag":"2979856523","pmid":"https://pubmed.ncbi.nlm.nih.gov/31603779"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2944079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2944079","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":true,"oa_status":"green","oa_url":"https://openportal.isti.cnr.it/doc?id=people______::e389c324fa7b0ed09eb0aafbfd19d8cd","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010329554","display_name":"Alessandro Artusi","orcid":"https://orcid.org/0000-0002-4502-663X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alessandro Artusi","raw_affiliation_strings":["MRG DeepCamera Group, RISE Ltd., Nicosia, Cyprus"],"raw_orcid":"https://orcid.org/0000-0002-4502-663X","affiliations":[{"raw_affiliation_string":"MRG DeepCamera Group, RISE Ltd., Nicosia, Cyprus","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057607650","display_name":"Francesco Banterle","orcid":"https://orcid.org/0000-0002-6374-6657"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Banterle","raw_affiliation_strings":["ISTI-CNR, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISTI-CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112474741","display_name":"Fabio Carra","orcid":null},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Carra","raw_affiliation_strings":["ISTI-CNR, Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0001-5014-5089","affiliations":[{"raw_affiliation_string":"ISTI-CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086354805","display_name":"Alejandro Moreo","orcid":"https://orcid.org/0000-0002-0377-1025"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alejandro Moreo","raw_affiliation_strings":["ISTI-CNR, Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0002-0377-1025","affiliations":[{"raw_affiliation_string":"ISTI-CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7269,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.8817824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"1843","last_page":"1855"},"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":0.9984999895095825,"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":0.9972000122070312,"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":0.7648603916168213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6933586001396179},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.6680443286895752},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6153011918067932},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.613500714302063},{"id":"https://openalex.org/keywords/mean-opinion-score","display_name":"Mean opinion score","score":0.5709213018417358},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5358675122261047},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5262248516082764},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5218787789344788},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.48284441232681274},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.47123631834983826},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47040730714797974},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46899107098579407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37725451588630676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3414757251739502}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7648603916168213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6933586001396179},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.6680443286895752},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6153011918067932},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.613500714302063},{"id":"https://openalex.org/C62897895","wikidata":"https://www.wikidata.org/wiki/Q1915482","display_name":"Mean opinion score","level":3,"score":0.5709213018417358},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5358675122261047},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5262248516082764},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5218787789344788},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.48284441232681274},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.47123631834983826},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47040730714797974},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46899107098579407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37725451588630676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3414757251739502},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2019.2944079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2944079","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:31603779","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31603779","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},{"id":"pmh:oai:dnet:people______::e389c324fa7b0ed09eb0aafbfd19d8cd","is_oa":true,"landing_page_url":"https://openportal.isti.cnr.it/doc?id=people______::e389c324fa7b0ed09eb0aafbfd19d8cd","pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE transactions on image processing (Online) 29 (2019): 1843\u20131855. doi:10.1109/TIP.2019.2944079","raw_type":"Journal article"},{"id":"pmh:oai:zenodo.org:3522907","is_oa":true,"landing_page_url":"https://doi.org/10.1109/TIP.2019.2944079","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing, 1-14, (2019-10-07)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:dnet:people______::e389c324fa7b0ed09eb0aafbfd19d8cd","is_oa":true,"landing_page_url":"https://openportal.isti.cnr.it/doc?id=people______::e389c324fa7b0ed09eb0aafbfd19d8cd","pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE transactions on image processing (Online) 29 (2019): 1843\u20131855. doi:10.1109/TIP.2019.2944079","raw_type":"Journal article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1833903074","display_name":null,"funder_award_id":"K40 GPU","funder_id":"https://openalex.org/F4320309480","funder_display_name":"Nvidia"},{"id":"https://openalex.org/G2010355708","display_name":null,"funder_award_id":"Tesla K40 GPU","funder_id":"https://openalex.org/F4320309480","funder_display_name":"Nvidia"},{"id":"https://openalex.org/G5801408398","display_name":null,"funder_award_id":"Tesla K40","funder_id":"https://openalex.org/F4320309480","funder_display_name":"Nvidia"},{"id":"https://openalex.org/G6609754483","display_name":null,"funder_award_id":"820434","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7842005466","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G992966723","display_name":null,"funder_award_id":"739578","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W21813003","https://openalex.org/W581289835","https://openalex.org/W1483393136","https://openalex.org/W1488971909","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1901129140","https://openalex.org/W1922794879","https://openalex.org/W1976478698","https://openalex.org/W1982471090","https://openalex.org/W1990873664","https://openalex.org/W1997746542","https://openalex.org/W2001868068","https://openalex.org/W2007207888","https://openalex.org/W2008675431","https://openalex.org/W2027262223","https://openalex.org/W2033739155","https://openalex.org/W2048327394","https://openalex.org/W2051596736","https://openalex.org/W2064264486","https://openalex.org/W2089500640","https://openalex.org/W2092755522","https://openalex.org/W2094611063","https://openalex.org/W2102584639","https://openalex.org/W2104620795","https://openalex.org/W2106775624","https://openalex.org/W2123462437","https://openalex.org/W2124562516","https://openalex.org/W2130343527","https://openalex.org/W2130414230","https://openalex.org/W2133665775","https://openalex.org/W2161907179","https://openalex.org/W2163084851","https://openalex.org/W2163605009","https://openalex.org/W2164287382","https://openalex.org/W2164409281","https://openalex.org/W2164716550","https://openalex.org/W2170288257","https://openalex.org/W2170947705","https://openalex.org/W2184159350","https://openalex.org/W2219988151","https://openalex.org/W2240434622","https://openalex.org/W2240650900","https://openalex.org/W2242047952","https://openalex.org/W2264432461","https://openalex.org/W2293879958","https://openalex.org/W2294495255","https://openalex.org/W2499293226","https://openalex.org/W2533228566","https://openalex.org/W2562637781","https://openalex.org/W2563786098","https://openalex.org/W2566149141","https://openalex.org/W2576670953","https://openalex.org/W2603172850","https://openalex.org/W2622486119","https://openalex.org/W2737134362","https://openalex.org/W2741137940","https://openalex.org/W2746556728","https://openalex.org/W2766497195","https://openalex.org/W2767836774","https://openalex.org/W2891273979","https://openalex.org/W2964121744","https://openalex.org/W2997077506","https://openalex.org/W2998514558","https://openalex.org/W2999388423","https://openalex.org/W3100498948","https://openalex.org/W3122099796","https://openalex.org/W4235894276","https://openalex.org/W4256291298","https://openalex.org/W6629356436","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6639824700","https://openalex.org/W6640334039","https://openalex.org/W6648118742","https://openalex.org/W6652464903","https://openalex.org/W6679298355","https://openalex.org/W6683920121","https://openalex.org/W6684191040","https://openalex.org/W6728807229"],"related_works":["https://openalex.org/W2120447654","https://openalex.org/W2977179488","https://openalex.org/W2144453115","https://openalex.org/W2292083403","https://openalex.org/W2801208768","https://openalex.org/W2104070163","https://openalex.org/W2364766777","https://openalex.org/W1968377804","https://openalex.org/W4226186675","https://openalex.org/W2525732822"],"abstract_inverted_index":{"Image":[0,73],"metrics":[1,59,93],"based":[2],"on":[3],"Human":[4],"Visual":[5],"System":[6],"(HVS)":[7],"play":[8],"a":[9,46,77],"remarkable":[10],"role":[11],"in":[12,33,63],"the":[13,22,82,96],"evaluation":[14],"of":[15,35,55,104],"complex":[16,28],"image":[17,84],"processing":[18],"algorithms.":[19],"However,":[20],"mimicking":[21],"HVS":[23],"is":[24,42],"known":[25],"to":[26,45,50,80,108],"be":[27],"and":[29,37,39,49],"computationally":[30],"expensive":[31],"(both":[32],"terms":[34],"time":[36],"memory),":[38],"its":[40],"usage":[41],"thus":[43],"limited":[44],"few":[47],"applications":[48],"small":[51],"input":[52],"data.":[53],"All":[54],"this":[56],"makes":[57],"such":[58],"not":[60],"fully":[61],"attractive":[62],"real-world":[64],"scenarios.":[65],"To":[66],"address":[67],"these":[68],"issues,":[69],"we":[70],"propose":[71],"Deep":[72],"Quality":[74],"Metric":[75],"(DIQM),":[76],"deep-learning":[78],"approach":[79],"learn":[81],"global":[83],"quality":[85],"feature":[86],"(mean-opinion-score).":[87],"DIQM":[88],"can":[89],"emulate":[90],"existing":[91,109],"visual":[92],"efficiently,":[94],"reducing":[95],"computational":[97],"costs":[98],"by":[99],"more":[100],"than":[101],"an":[102],"order":[103],"magnitude":[105],"with":[106],"respect":[107],"implementations.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6}],"updated_date":"2026-06-20T22:02:38.213706","created_date":"2025-10-10T00:00:00"}
