{"id":"https://openalex.org/W3088634340","doi":"https://doi.org/10.2352/issn.2470-1173.2020.10.ipas-137","title":"An expandable image database for evaluation of full-reference image visual quality metrics","display_name":"An expandable image database for evaluation of full-reference image visual quality metrics","publication_year":2020,"publication_date":"2020-01-26","ids":{"openalex":"https://openalex.org/W3088634340","doi":"https://doi.org/10.2352/issn.2470-1173.2020.10.ipas-137","mag":"3088634340"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2020.10.ipas-137","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.10.ipas-137","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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":null,"display_name":"Mykola Ponomarenko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mykola Ponomarenko","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028393131","display_name":"\u041e\u043b\u0435\u0433 \u0404\u0440\u0435\u043c\u0435\u0454\u0432","orcid":"https://orcid.org/0000-0001-7865-0570"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oleg Ieremeiev","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011325512","display_name":"Vladimir Lukin","orcid":"https://orcid.org/0000-0002-1443-9685"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vladimir Lukin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5090213299","display_name":"Karen Egiazarian","orcid":"https://orcid.org/0000-0002-8135-1085"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karen Egiazarian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2875,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.56345022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"32","issue":"10","first_page":"137","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.998199999332428,"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":0.998199999332428,"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":0.9970999956130981,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/normalization","display_name":"Normalization (sociology)","score":0.7775722742080688},{"id":"https://openalex.org/keywords/linearization","display_name":"Linearization","score":0.6542072892189026},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6228691339492798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6099605560302734},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5289744734764099},{"id":"https://openalex.org/keywords/mean-opinion-score","display_name":"Mean opinion score","score":0.5166493058204651},{"id":"https://openalex.org/keywords/nonlinear-distortion","display_name":"Nonlinear distortion","score":0.4976225197315216},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4638998508453369},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4514710307121277},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4339660108089447},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4051722288131714},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.3787267506122589},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.33390486240386963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31118273735046387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2839052677154541}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7775722742080688},{"id":"https://openalex.org/C11210021","wikidata":"https://www.wikidata.org/wiki/Q1520713","display_name":"Linearization","level":3,"score":0.6542072892189026},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6228691339492798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6099605560302734},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5289744734764099},{"id":"https://openalex.org/C62897895","wikidata":"https://www.wikidata.org/wiki/Q1915482","display_name":"Mean opinion score","level":3,"score":0.5166493058204651},{"id":"https://openalex.org/C173413354","wikidata":"https://www.wikidata.org/wiki/Q7049470","display_name":"Nonlinear distortion","level":4,"score":0.4976225197315216},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4638998508453369},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4514710307121277},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4339660108089447},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4051722288131714},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.3787267506122589},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.33390486240386963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31118273735046387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2839052677154541},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2020.10.ipas-137","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.10.ipas-137","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3016015234","https://openalex.org/W2354898784","https://openalex.org/W2130791938","https://openalex.org/W2615867937","https://openalex.org/W2124351348","https://openalex.org/W4244227190","https://openalex.org/W2104070163","https://openalex.org/W1968377804","https://openalex.org/W2525732822","https://openalex.org/W4226186675"],"abstract_inverted_index":{"Traditional":[0],"approach":[1,97],"to":[2,65,98,108,115,170],"collect":[3,109],"mean":[4],"opinion":[5],"score":[6],"(MOS)":[7],"values":[8,136,169],"for":[9,77,139,165],"evaluation":[10],"of":[11,26,34,50,71,74,90,95,120,127,141,144,154,159,167],"full-reference":[12],"image":[13,57],"quality":[14],"metrics":[15],"has":[16,81],"two":[17],"serious":[18],"drawbacks.":[19],"The":[20,43],"first":[21],"drawback":[22,45],"is":[23,129,161],"a":[24,40,61,105,113,118,121,147],"nonlinearity":[25],"MOS,":[27],"only":[28],"partially":[29],"compensated":[30],"by":[31,60,123],"the":[32,72,93,132],"use":[33],"rank":[35],"order":[36],"correlation":[37],"coefficients":[38],"in":[39,56],"further":[41],"analysis.":[42],"second":[44],"are":[46,137,174],"limitations":[47],"on":[48],"number":[49],"distortion":[51,54],"types":[52,126],"and":[53,157],"levels":[55],"database":[58,122,173],"imposed":[59],"maximum":[62],"allowed":[63],"time":[64],"carry":[66],"out":[67],"an":[68,88],"experiment.":[69],"One":[70],"largest":[73],"databases":[75],"used":[76],"this":[78,96,103],"purpose,":[79],"TID2013,":[80],"almost":[82],"reached":[83],"these":[84],"limitations,":[85],"which":[86],"makes":[87],"extension":[89],"TID2013":[91,172],"within":[92],"boundaries":[94],"be":[99],"practically":[100],"unfeasible.":[101],"In":[102],"paper,":[104],"novel":[106],"methodology":[107],"MOS":[110,135,160,168],"values,":[111],"with":[112],"possibility":[114],"infinitely":[116],"increase":[117],"size":[119],"adding":[124],"new":[125],"distortions,":[128,142],"proposed.":[130],"For":[131],"proposed":[133],"methodology,":[134],"collected":[138],"pairs":[140],"one":[143],"them":[145],"being":[146],"signal":[148],"dependent":[149],"Gaussian":[150],"noise.":[151],"A":[152],"technique":[153],"effective":[155],"linearization":[156,166],"normalization":[158],"described.":[162],"Extensive":[163],"experiments":[164],"extend":[171],"carried":[175],"out.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}