{"id":"https://openalex.org/W2725210364","doi":"https://doi.org/10.1109/qomex.2017.7965628","title":"Reduced-reference image quality assessment based on internal generative mechanism utilizing shearlets and R\u00e9nyi entropy analysis","display_name":"Reduced-reference image quality assessment based on internal generative mechanism utilizing shearlets and R\u00e9nyi entropy analysis","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2725210364","doi":"https://doi.org/10.1109/qomex.2017.7965628","mag":"2725210364"},"language":"en","primary_location":{"id":"doi:10.1109/qomex.2017.7965628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2017.7965628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5064520759","display_name":"Saeed Mahmoudpour","orcid":"https://orcid.org/0000-0003-1006-1838"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Saeed Mahmoudpour","raw_affiliation_strings":["Department of Electronics and Informatics, Vrije Universiteit Brussel (VUB), Brussels, Belgium","imec, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Informatics, Vrije Universiteit Brussel (VUB), Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034083500","display_name":"Peter Schelkens","orcid":"https://orcid.org/0000-0003-0908-1655"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Peter Schelkens","raw_affiliation_strings":["Department of Electronics and Informatics, Vrije Universiteit Brussel (VUB), Brussels, Belgium","imec, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Informatics, Vrije Universiteit Brussel (VUB), Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"19","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":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/T11165","display_name":"Image and Video Quality Assessment","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9843999743461609,"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":0.9829000234603882,"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":0.8022257089614868},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7065306305885315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6389116048812866},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6188940405845642},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5987810492515564},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5912641882896423},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5835936665534973},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5789840817451477},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5451164245605469},{"id":"https://openalex.org/keywords/shearlet","display_name":"Shearlet","score":0.5320846438407898},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4779517650604248},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.47456008195877075},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4229412376880646},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3732043504714966},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.34622305631637573},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.08843383193016052}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8022257089614868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7065306305885315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6389116048812866},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6188940405845642},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5987810492515564},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5912641882896423},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5835936665534973},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5789840817451477},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5451164245605469},{"id":"https://openalex.org/C67795661","wikidata":"https://www.wikidata.org/wiki/Q17018993","display_name":"Shearlet","level":3,"score":0.5320846438407898},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4779517650604248},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.47456008195877075},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4229412376880646},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3732043504714966},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.34622305631637573},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.08843383193016052},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/qomex.2017.7965628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2017.7965628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:141566","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/reducedreference-image-quality-assessment-based-on-internal-generative-mechanism-utilizing-shearlets-and-r\u00e9nyi-entropy-analysis(397722c1-4db8-4784-95be-612b22775123).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1964357740","https://openalex.org/W1985560945","https://openalex.org/W1997746542","https://openalex.org/W2037243393","https://openalex.org/W2117881455","https://openalex.org/W2119999314","https://openalex.org/W2129644086","https://openalex.org/W2133251102","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2147008239","https://openalex.org/W2148764920","https://openalex.org/W2153635508","https://openalex.org/W2162692770","https://openalex.org/W2290415093","https://openalex.org/W2500825094","https://openalex.org/W2515470759","https://openalex.org/W2546855109","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2475220750","https://openalex.org/W2016759271","https://openalex.org/W2072476274","https://openalex.org/W2949924583","https://openalex.org/W2018897187","https://openalex.org/W4299617494","https://openalex.org/W1541049108","https://openalex.org/W2145495275","https://openalex.org/W2950003032","https://openalex.org/W1496339867"],"abstract_inverted_index":{"During":[0],"acquisition,":[1],"processing,":[2],"compression":[3,18],"and":[4,63,82,93,101,125],"transmission,":[5],"images":[6,31,75],"may":[7],"be":[8],"corrupted":[9],"by":[10,33],"multiple":[11],"distortions":[12],"such":[13],"as":[14],"blur,":[15],"noise":[16],"or":[17],"artefacts.":[19],"However,":[20],"current":[21],"image":[22,121,137],"quality":[23,49,114,138],"assessment":[24],"(IQA)":[25],"methods":[26],"are":[27,76,88,96],"often":[28],"designed":[29],"for":[30],"degraded":[32],"a":[34,41,113],"single":[35],"distortion":[36],"type.":[37],"This":[38],"paper":[39],"proposes":[40],"reduced-reference":[42],"(RR)":[43],"IQA":[44],"method":[45,54,131],"to":[46,111],"predict":[47],"the":[48,61,64,74,99,129],"of":[50],"multi-distorted":[51],"images.":[52,66,103],"The":[53,116],"is":[55,109],"based":[56],"on":[57,68,118],"feature":[58,94],"extraction":[59],"from":[60,90],"reference":[62,100],"distorted":[65,102],"Based":[67],"internal":[69],"generative":[70],"mechanism":[71],"(IGM)":[72],"theory,":[73],"decomposed":[77],"first":[78],"into":[79],"their":[80],"predicted":[81],"disorderly":[83],"portions.":[84],"Next,":[85],"several":[86,136],"features":[87],"captured":[89],"each":[91],"portion":[92],"differences":[95],"computed":[97],"between":[98],"Finally,":[104],"support":[105],"vector":[106],"regression":[107],"(SVR)":[108],"adopted":[110],"obtain":[112],"score.":[115],"results":[117],"public":[119],"multiply-distorted":[120],"databases,":[122],"namely":[123],"MDID2015":[124],"MLIVE,":[126],"show":[127],"that":[128],"proposed":[130],"delivers":[132],"higher":[133],"accuracy":[134],"than":[135],"metrics.":[139]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}