{"id":"https://openalex.org/W3089933507","doi":"https://doi.org/10.1109/icip40778.2020.9191202","title":"Nor-Vdpnet: A No-Reference High Dynamic Range Quality Metric Trained On Hdr-Vdp 2","display_name":"Nor-Vdpnet: A No-Reference High Dynamic Range Quality Metric Trained On Hdr-Vdp 2","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3089933507","doi":"https://doi.org/10.1109/icip40778.2020.9191202","mag":"3089933507"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9191202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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":true,"raw_author_name":"Francesco Banterle","raw_affiliation_strings":["ISTI-CNR, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"ISTI-CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"middle","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":["DeepCamera MRG, RISE Ltd, Nicosia, Cyprus"],"affiliations":[{"raw_affiliation_string":"DeepCamera MRG, RISE Ltd, Nicosia, Cyprus","institution_ids":[]}]},{"author_position":"middle","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"],"affiliations":[{"raw_affiliation_string":"ISTI-CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059447545","display_name":"Fabio Carrara","orcid":"https://orcid.org/0000-0001-5014-5089"},"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 Carrara","raw_affiliation_strings":["ISTI-CNR, Pisa, Italy"],"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":["https://openalex.org/A5057607650"],"corresponding_institution_ids":["https://openalex.org/I122991210"],"apc_list":null,"apc_paid":null,"fwci":0.6871,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.72426972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"126","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11019","display_name":"Image Enhancement Techniques","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/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980999827384949,"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/metric","display_name":"Metric (unit)","score":0.8360147476196289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7771023511886597},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.7386175394058228},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.6500748991966248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6076829433441162},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5783925652503967},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5517480373382568},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5412395596504211},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.4920613169670105},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4627094268798828},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45539090037345886},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45040637254714966},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38287419080734253},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3447279930114746},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.29336339235305786}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.8360147476196289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7771023511886597},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7386175394058228},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.6500748991966248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6076829433441162},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5783925652503967},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5517480373382568},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5412395596504211},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.4920613169670105},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4627094268798828},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45539090037345886},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45040637254714966},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38287419080734253},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3447279930114746},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.29336339235305786},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip40778.2020.9191202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:dnet:people______::7b76e1710e0372132652ba6bcd627cc8","is_oa":true,"landing_page_url":null,"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":"","raw_type":"Conference article"},{"id":"pmh:oai:zenodo.org:4575693","is_oa":true,"landing_page_url":"https://zenodo.org/record/4575693","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:dnet:people______::7b76e1710e0372132652ba6bcd627cc8","is_oa":true,"landing_page_url":null,"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":"","raw_type":"Conference article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1483393136","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1901129140","https://openalex.org/W1982471090","https://openalex.org/W1997746542","https://openalex.org/W2051596736","https://openalex.org/W2064264486","https://openalex.org/W2089500640","https://openalex.org/W2094611063","https://openalex.org/W2106775624","https://openalex.org/W2124562516","https://openalex.org/W2126458041","https://openalex.org/W2163084851","https://openalex.org/W2163605009","https://openalex.org/W2164287382","https://openalex.org/W2170947705","https://openalex.org/W2184159350","https://openalex.org/W2294495255","https://openalex.org/W2563786098","https://openalex.org/W2576670953","https://openalex.org/W2622486119","https://openalex.org/W2737134362","https://openalex.org/W2746556728","https://openalex.org/W2764133685","https://openalex.org/W2766497195","https://openalex.org/W2769753215","https://openalex.org/W2891273979","https://openalex.org/W2943887298","https://openalex.org/W2964121744","https://openalex.org/W2979856523","https://openalex.org/W3002992380","https://openalex.org/W3091249416","https://openalex.org/W3100498948","https://openalex.org/W3100520729","https://openalex.org/W3122099796","https://openalex.org/W3123618386","https://openalex.org/W4256291298","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6639824700","https://openalex.org/W6663470086","https://openalex.org/W6684191040","https://openalex.org/W6686231779"],"related_works":["https://openalex.org/W4322741006","https://openalex.org/W2047973478","https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2120205576","https://openalex.org/W2134324324","https://openalex.org/W2885323543","https://openalex.org/W3089411267"],"abstract_inverted_index":{"HDR-VDP":[0,31,79,122,146],"2":[1,32,80,123,147],"has":[2],"convincingly":[3],"shown":[4],"to":[5,35,49,60,81,109,145],"be":[6,36],"a":[7,19,53,65,104,132,162,172],"reliable":[8],"metric":[9],"for":[10],"image":[11,27,55,113],"quality":[12,63,114],"assessment,":[13],"and":[14,44,46,136,174],"it":[15,129],"is":[16,33,47,68,126,140],"currently":[17],"playing":[18],"remarkable":[20],"role":[21],"in":[22,40,161],"the":[23,50,62,76,111,117,157,167],"evaluation":[24],"of":[25,42,52,64,78,87,153,159,164,169,171],"complex":[26],"processing":[28],"algorithms.":[29],"However,":[30],"known":[34],"computationally":[37],"expensive":[38],"(both":[39],"terms":[41],"time":[43],"memory)":[45],"constrained":[48],"availability":[51],"ground-truth":[54],"(the":[56],"so-called":[57],"reference)":[58,135],"against":[59],"which":[61],"processed":[66],"imaged":[67],"quantified.":[69],"These":[70],"aspects":[71],"impose":[72],"severe":[73],"limitations":[74],"on":[75],"applicability":[77],"realworld":[82],"scenarios":[83],"involving":[84],"large":[85],"quantities":[86],"data":[88],"or":[89],"requiring":[90],"real-time":[91],"responses.":[92],"To":[93],"address":[94],"these":[95],"issues,":[96],"we":[97],"propose":[98],"Deep":[99],"No-Reference":[100],"Quality":[101],"Metric":[102],"(NoR-VDPNet),":[103],"deep-learning":[105],"approach":[106],"that":[107,121],"learns":[108],"predict":[110],"global":[112],"feature":[115],"(i.e.,":[116,128],"mean-opinion-score":[118],"index":[119],"Q)":[120],"computes.":[124],"NoR-VDPNet":[125,160],"no-reference":[127],"operates":[130],"without":[131],"ground":[133],"truth":[134],"its":[137],"computational":[138],"cost":[139],"substantially":[141],"lower":[142],"when":[143],"compared":[144],"(by":[148],"more":[149],"than":[150],"an":[151],"order":[152],"magnitude).":[154],"We":[155],"demonstrate":[156],"performance":[158],"variety":[163],"scenarios,":[165],"including":[166],"optimization":[168],"parameters":[170],"denoiser":[173],"JPEG-XT.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}
