{"id":"https://openalex.org/W2754117911","doi":"https://doi.org/10.1109/icip.2017.8296392","title":"Image quality assessment to enhance infrared face recognition","display_name":"Image quality assessment to enhance infrared face recognition","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2754117911","doi":"https://doi.org/10.1109/icip.2017.8296392","mag":"2754117911"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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":"https://openalex.org/A5033130934","display_name":"Camilo Gerardo Rodr\u00edguez-Pulecio","orcid":"https://orcid.org/0000-0001-6857-1895"},"institutions":[{"id":"https://openalex.org/I233745408","display_name":"Pontificia Universidad Javeriana","ror":"https://ror.org/03etyjw28","country_code":"CO","type":"education","lineage":["https://openalex.org/I233745408"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Camilo G. Rodriguez Pulecio","raw_affiliation_strings":["Departamento de Electr\u00f3nica y Ciencias de la Computaci\u00f3n, Pontificia Universidad Javeriana, Cali, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Electr\u00f3nica y Ciencias de la Computaci\u00f3n, Pontificia Universidad Javeriana, Cali, Colombia","institution_ids":["https://openalex.org/I233745408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077419485","display_name":"Hern\u00e1n Dar\u00edo Ben\u00edtez-Restrepo","orcid":"https://orcid.org/0000-0002-2661-8867"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hernan D. Benitez-Restrepo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075463806","display_name":"Alan C. Bovik","orcid":"https://orcid.org/0000-0001-6067-710X"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan C. Bovik","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5542,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.76347555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"805","last_page":"809"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9983999729156494,"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":0.9983999729156494,"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/T11448","display_name":"Face recognition and analysis","score":0.9926000237464905,"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":0.9884999990463257,"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":0.79459547996521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7480775713920593},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.741623044013977},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6949113607406616},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6764779686927795},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6415423154830933},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6152989268302917},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5469664335250854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5389907956123352},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4715200662612915},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43198007345199585},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3595738708972931}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.79459547996521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480775713920593},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.741623044013977},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6949113607406616},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6764779686927795},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6415423154830933},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6152989268302917},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5469664335250854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5389907956123352},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4715200662612915},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43198007345199585},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3595738708972931},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8296392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W967827082","https://openalex.org/W1493093959","https://openalex.org/W1574619919","https://openalex.org/W1808578553","https://openalex.org/W1982471090","https://openalex.org/W1992869494","https://openalex.org/W2013422999","https://openalex.org/W2013661714","https://openalex.org/W2087932678","https://openalex.org/W2101083417","https://openalex.org/W2102166818","https://openalex.org/W2109909155","https://openalex.org/W2110334626","https://openalex.org/W2122519597","https://openalex.org/W2129644086","https://openalex.org/W2157346641","https://openalex.org/W2165588203","https://openalex.org/W2291766606","https://openalex.org/W2534923323","https://openalex.org/W4255016102","https://openalex.org/W6676418206"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W2095239294","https://openalex.org/W3147744369","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W3212688212","https://openalex.org/W2384651879","https://openalex.org/W2985118265"],"abstract_inverted_index":{"Automatic":[0],"quality":[1,33,93,130],"evaluation":[2],"of":[3,15,24,29,31,37,50,81,94,114,128],"infrared":[4,55,82],"images":[5,14],"has":[6],"not":[7],"been":[8],"researched":[9],"as":[10,12],"extensively":[11],"for":[13,62,132],"the":[16,27,35,48,69,87,92,95,126],"visible":[17],"spectrum.":[18],"Moreover,":[19],"there":[20],"is":[21],"a":[22,60,103],"lack":[23],"studies":[25],"on":[26,34,42,54,108],"influence":[28],"degradation":[30,80],"image":[32,52,129],"performance":[36],"computer":[38],"vision":[39],"tasks":[40],"operating":[41],"thermal":[43,109,139],"images.":[44,140],"Here,":[45],"we":[46],"quantify":[47],"impact":[49],"common":[51],"distortions":[53],"face":[56,88,104],"recognition,":[57],"and":[58,84,121],"present":[59],"method":[61],"aggregating":[63],"perceptual":[64],"quality-aware":[65],"features":[66],"to":[67,78,85,91,102],"improve":[68],"identification":[70,105,135],"rates.":[71],"We":[72],"use":[73,138],"Natural":[74],"Scene":[75],"Statistics":[76],"(NSS)":[77],"detect":[79],"images,":[83],"adapt":[86],"recognition":[89,117],"algorithm":[90,106],"test":[96],"image.":[97],"The":[98],"proposed":[99],"approach":[100],"applied":[101],"based":[107],"signatures":[110],"yielded":[111],"an":[112],"improvement":[113],"rank":[115],"one":[116],"rates":[118],"between":[119],"11%":[120],"19%.":[122],"These":[123],"results":[124],"confirm":[125],"relevance":[127],"assessment":[131],"improving":[133],"biometric":[134],"systems":[136],"that":[137]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
