{"id":"https://openalex.org/W2976812231","doi":"https://doi.org/10.2352/issn.2470-1173.2019.12.hvei-214","title":"An improved objective metric to predict image quality using deep neural networks","display_name":"An improved objective metric to predict image quality using deep neural networks","publication_year":2019,"publication_date":"2019-01-13","ids":{"openalex":"https://openalex.org/W2976812231","doi":"https://doi.org/10.2352/issn.2470-1173.2019.12.hvei-214","mag":"2976812231"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2019.12.hvei-214","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.12.hvei-214","pdf_url":"https://library.imaging.org/ei/articles/31/12/art00008","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":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/ei/articles/31/12/art00008","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002721994","display_name":"Pinar Akyazi","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Pinar Akyazi","raw_affiliation_strings":["Multimedia Signal Processing Group (MMSPG); Ecole Polytechnique F d rale de Lausanne; CH 1015, Lausanne, Switzerland","Multimedia Signal Processing Group (MMSPG); Ecole Polytechnique F \u00e9d \u00e9rale de Lausanne; CH 1015, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Multimedia Signal Processing Group (MMSPG); Ecole Polytechnique F d rale de Lausanne; CH 1015, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Multimedia Signal Processing Group (MMSPG); Ecole Polytechnique F \u00e9d \u00e9rale de Lausanne; CH 1015, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082188773","display_name":"Touradj Ebrahimi","orcid":"https://orcid.org/0000-0002-9900-3687"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Touradj Ebrahimi","raw_affiliation_strings":["Multimedia Signal Processing Group (MMSPG); Ecole Polytechnique F d rale de Lausanne; CH 1015, Lausanne, Switzerland","Multimedia Signal Processing Group (MMSPG); Ecole Polytechnique F \u00e9d \u00e9rale de Lausanne; CH 1015, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Multimedia Signal Processing Group (MMSPG); Ecole Polytechnique F d rale de Lausanne; CH 1015, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Multimedia Signal Processing Group (MMSPG); Ecole Polytechnique F \u00e9d \u00e9rale de Lausanne; CH 1015, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002721994"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":0.1022,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.44952624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"31","issue":"12","first_page":"214","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":0.9998000264167786,"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"}},"topics":[{"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":0.9987999796867371,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980000257492065,"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":0.7385959625244141},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.7332425713539124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.730128824710846},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6956155300140381},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6770110130310059},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.61495441198349},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.5955127477645874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5662136673927307},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5371696352958679},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5215389728546143},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.49861764907836914},{"id":"https://openalex.org/keywords/standard-test-image","display_name":"Standard test image","score":0.48887962102890015},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4814016819000244},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.4546752870082855},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.43780025839805603},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.38884487748146057},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33391010761260986},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3267074227333069},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2603141665458679}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7385959625244141},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.7332425713539124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.730128824710846},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6956155300140381},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6770110130310059},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.61495441198349},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.5955127477645874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5662136673927307},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5371696352958679},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5215389728546143},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.49861764907836914},{"id":"https://openalex.org/C180462255","wikidata":"https://www.wikidata.org/wiki/Q3559736","display_name":"Standard test image","level":4,"score":0.48887962102890015},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4814016819000244},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.4546752870082855},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.43780025839805603},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.38884487748146057},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33391010761260986},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3267074227333069},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2603141665458679},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2352/issn.2470-1173.2019.12.hvei-214","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.12.hvei-214","pdf_url":"https://library.imaging.org/ei/articles/31/12/art00008","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"},{"id":"pmh:oai:infoscience.epfl.ch:270334","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/270334","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"raw_type":"conference proceedings"}],"best_oa_location":{"id":"doi:10.2352/issn.2470-1173.2019.12.hvei-214","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.12.hvei-214","pdf_url":"https://library.imaging.org/ei/articles/31/12/art00008","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"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320998","display_name":"Kommission f\u00fcr Technologie und Innovation","ror":"https://ror.org/012y9zp98"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2976812231.pdf","grobid_xml":"https://content.openalex.org/works/W2976812231.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1580389772","https://openalex.org/W1686810756","https://openalex.org/W1973175507","https://openalex.org/W1974013408","https://openalex.org/W2095705004","https://openalex.org/W2112796928","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2194775991","https://openalex.org/W3100498948","https://openalex.org/W3194972374","https://openalex.org/W6687483927","https://openalex.org/W6759638512"],"related_works":["https://openalex.org/W2441603424","https://openalex.org/W2542654834","https://openalex.org/W2159814397","https://openalex.org/W4243959093","https://openalex.org/W2971784143","https://openalex.org/W1968318766","https://openalex.org/W4312760377","https://openalex.org/W2357838320","https://openalex.org/W797099379","https://openalex.org/W2402140698"],"abstract_inverted_index":{"Objective":[0],"quality":[1,19,28,81,161],"assessment":[2],"of":[3,29,88],"compressed":[4],"images":[5,30,77,135],"is":[6,22,40,82,123],"very":[7],"useful":[8],"in":[9,140],"many":[10],"applications.":[11],"In":[12],"this":[13],"paper":[14],"we":[15],"present":[16],"an":[17],"objective":[18,160],"metric":[20],"that":[21,147],"better":[23],"tuned":[24],"to":[25,42],"evaluate":[26],"the":[27,128,141,148,152],"distorted":[31,51,136],"by":[32,137],"compression":[33,138],"artifacts.":[34],"A":[35],"deep":[36],"convolutional":[37],"neural":[38],"networks":[39],"used":[41],"extract":[43],"features":[44,54,68],"from":[45,71,76,112],"a":[46,85,104,113],"reference":[47],"image":[48,80],"and":[49,58,78,107,134],"its":[50],"version.":[52],"Selected":[53],"have":[55],"both":[56,127],"spatial":[57],"spectral":[59],"characteristics":[60],"providing":[61],"substantial":[62],"information":[63],"on":[64,103,126],"perceived":[65],"quality.":[66],"These":[67],"are":[69,93,100],"extracted":[70],"numerous":[72],"randomly":[73],"selected":[74],"patches":[75],"overall":[79],"computed":[83],"as":[84,155,157],"weighted":[86],"sum":[87],"patch":[89],"scores,":[90],"where":[91],"weights":[92],"learned":[94],"during":[95],"training.":[96],"The":[97,120],"model":[98,122,150],"parameters":[99],"initialized":[101],"based":[102],"previous":[105],"work":[106],"further":[108],"trained":[109],"using":[110],"content":[111],"recent":[114],"JPEG":[115,130],"XL":[116,131],"call":[117],"for":[118],"proposals.":[119],"proposed":[121],"then":[124],"analyzed":[125],"above":[129],"test":[132],"set":[133],"algorithms":[139],"TID2013":[142],"database.":[143],"Test":[144],"results":[145],"indicate":[146],"new":[149],"outperforms":[151],"initial":[153],"model,":[154],"well":[156],"other":[158],"state-of-the-art":[159],"metrics.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}