{"id":"https://openalex.org/W4322746004","doi":"https://doi.org/10.2352/ei.2023.35.8.iqsp-309","title":"Evaluation of image quality metrics designed for DRI tasks with automotive cameras","display_name":"Evaluation of image quality metrics designed for DRI tasks with automotive cameras","publication_year":2023,"publication_date":"2023-01-16","ids":{"openalex":"https://openalex.org/W4322746004","doi":"https://doi.org/10.2352/ei.2023.35.8.iqsp-309"},"language":"en","primary_location":{"id":"doi:10.2352/ei.2023.35.8.iqsp-309","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/ei.2023.35.8.iqsp-309","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/35/8/IQSP-309","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/admin/apis/public/api/ist/website/downloadArticle/ei/35/8/IQSP-309","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077376368","display_name":"Valentine Klein","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Valentine Klein","raw_affiliation_strings":["Boulogne-Billancourt, France"],"affiliations":[{"raw_affiliation_string":"Boulogne-Billancourt, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043655119","display_name":"Theophanis Eleftheriou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Theophanis Eleftheriou","raw_affiliation_strings":["Boulogne-Billancourt, France"],"affiliations":[{"raw_affiliation_string":"Boulogne-Billancourt, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049455774","display_name":"Yiqi LI","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiqi LI","raw_affiliation_strings":["Boulogne-Billancourt, France"],"affiliations":[{"raw_affiliation_string":"Boulogne-Billancourt, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001367404","display_name":"Emilie Baudin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emilie Baudin","raw_affiliation_strings":["Boulogne-Billancourt, France"],"affiliations":[{"raw_affiliation_string":"Boulogne-Billancourt, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021573612","display_name":"Claudio Greco","orcid":"https://orcid.org/0000-0001-9628-7875"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Claudio Greco","raw_affiliation_strings":["Boulogne-Billancourt, France"],"affiliations":[{"raw_affiliation_string":"Boulogne-Billancourt, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039831898","display_name":"Laurent Chanas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laurent Chanas","raw_affiliation_strings":["Boulogne-Billancourt, France"],"affiliations":[{"raw_affiliation_string":"Boulogne-Billancourt, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057257672","display_name":"Fr\u00e9d\u00e9ric Guichard","orcid":"https://orcid.org/0000-0002-7369-482X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fr\u00e9d\u00e9ric Guichard","raw_affiliation_strings":["Boulogne-Billancourt, France"],"affiliations":[{"raw_affiliation_string":"Boulogne-Billancourt, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5077376368"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6515,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71831331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"35","issue":"8","first_page":"309","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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":0.9661999940872192,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9553999900817871,"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":0.7587456703186035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7168880105018616},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.666877806186676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6024446487426758},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5969825387001038},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5640126466751099},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5536603331565857},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5194172859191895},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4869738519191742},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48279035091400146},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.44814959168434143},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.431254118680954},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.42261865735054016},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4013887345790863},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12161058187484741}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7587456703186035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7168880105018616},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.666877806186676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6024446487426758},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5969825387001038},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5640126466751099},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5536603331565857},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5194172859191895},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4869738519191742},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48279035091400146},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.44814959168434143},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.431254118680954},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.42261865735054016},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4013887345790863},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12161058187484741},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"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/ei.2023.35.8.iqsp-309","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/ei.2023.35.8.iqsp-309","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/35/8/IQSP-309","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":{"id":"doi:10.2352/ei.2023.35.8.iqsp-309","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/ei.2023.35.8.iqsp-309","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/35/8/IQSP-309","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":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4322746004.pdf"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W2767598133","https://openalex.org/W2805855545","https://openalex.org/W2975380813","https://openalex.org/W3088477827","https://openalex.org/W3184244085","https://openalex.org/W4231927828","https://openalex.org/W4247686858"],"related_works":["https://openalex.org/W4382644535","https://openalex.org/W2522768275","https://openalex.org/W2352938035","https://openalex.org/W2351672553","https://openalex.org/W2373392303","https://openalex.org/W2765894405","https://openalex.org/W1884735063","https://openalex.org/W2372668238","https://openalex.org/W4226126548","https://openalex.org/W2560421750"],"abstract_inverted_index":{"Driving":[0],"assistance":[1,11],"is":[2,49,84,146],"increasingly":[3],"used":[4,140],"in":[5,54],"new":[6],"car":[7],"models.":[8],"Most":[9],"driving":[10],"systems":[12],"are":[13],"based":[14],"on":[15,134],"automotive":[16],"cameras":[17],"and":[18,28,115,155,173,186,189],"computer":[19,58,96,127],"vision.":[20],"Computer":[21],"Vision,":[22],"regardless":[23],"of":[24,45,57,81,93,118,130,158,179,191,193],"the":[25,31,41,55,98,107,116,126,132,149,152,156,177,180,187],"underlying":[26],"algorithms":[27],"technology,":[29],"requires":[30],"images":[32],"to":[33,40,51,85,110,147,162,169,176],"have":[34,70,197],"good":[35,46],"image":[36,47,77],"quality,":[37],"defined":[38,53],"according":[39],"task.":[42,165],"This":[43],"notion":[44],"quality":[48],"still":[50],"be":[52,139],"case":[56],"vision":[59,128],"as":[60,141],"it":[61],"has":[62,183],"very":[63],"different":[64,88],"criteria":[65],"than":[66,76],"human":[67],"vision:":[68,97],"humans":[69],"a":[71,135,142,159,167],"better":[72],"contrast":[73],"detection":[74,92],"ability":[75,157],"chains.":[78],"The":[79,144],"aim":[80],"this":[82,124,164],"article":[83],"compare":[86,174],"three":[87,195],"metrics":[89,172,196],"designed":[90,185],"for":[91],"objects":[94],"with":[95],"Contrast":[99,108],"Detection":[100],"Probability":[101],"(CDP)":[102],"[1,":[103],"2,":[104],"3,":[105],"4],":[106],"Signal":[109],"Noise":[111],"Ratio":[112],"(CSNR)":[113],"[5]":[114],"Frequency":[117],"Correct":[119],"Resolution":[120],"(FCR)":[121],"[6].":[122],"For":[123],"purpose,":[125],"task":[129],"reading":[131],"characters":[133],"license":[136],"plate":[137],"will":[138],"benchmark.":[143],"objective":[145,153],"check":[148],"correlation":[150],"between":[151],"metric":[154],"neural":[160,181],"network":[161,182],"perform":[163],"Thus,":[166],"protocol":[168],"test":[170],"these":[171,194],"them":[175],"output":[178],"been":[184,198],"pros":[188],"cons":[190],"each":[192],"noted.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-23T23:20:30.427331","created_date":"2025-10-10T00:00:00"}