{"id":"https://openalex.org/W2799706634","doi":"https://doi.org/10.2352/issn.2470-1173.2018.12.iqsp-231","title":"Bridging the Gap Between Imaging Performance and Image Quality Measures","display_name":"Bridging the Gap Between Imaging Performance and Image Quality Measures","publication_year":2018,"publication_date":"2018-01-14","ids":{"openalex":"https://openalex.org/W2799706634","doi":"https://doi.org/10.2352/issn.2470-1173.2018.12.iqsp-231","mag":"2799706634"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2018.12.iqsp-231","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2018.12.iqsp-231","pdf_url":"https://library.imaging.org/ei/articles/30/12/art00007","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/30/12/art00007","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020119209","display_name":"Edward W. S. Fry","orcid":null},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Edward W.S. Fry","raw_affiliation_strings":["University of Westminster UK and"],"affiliations":[{"raw_affiliation_string":"University of Westminster UK and","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051237152","display_name":"Sophie Triantaphillidou","orcid":"https://orcid.org/0000-0002-9112-3123"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sophie Triantaphillidou","raw_affiliation_strings":["University of Westminster UK and"],"affiliations":[{"raw_affiliation_string":"University of Westminster UK and","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109416801","display_name":"Ralph E. Jacobson","orcid":null},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ralph E. Jacobson","raw_affiliation_strings":["University of Westminster UK and"],"affiliations":[{"raw_affiliation_string":"University of Westminster UK and","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003329367","display_name":"J.R. Jarvis","orcid":null},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John R. Jarvis","raw_affiliation_strings":["University of Westminster UK and"],"affiliations":[{"raw_affiliation_string":"University of Westminster UK and","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060976502","display_name":"Robin Jenkin","orcid":"https://orcid.org/0000-0001-6182-2970"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robin B. Jenkin","raw_affiliation_strings":["NVIDIA USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA USA","institution_ids":["https://openalex.org/I4210127875"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020119209"],"corresponding_institution_ids":["https://openalex.org/I94951947"],"apc_list":null,"apc_paid":null,"fwci":12.6272,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.9793072,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"30","issue":"12","first_page":"231","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9944000244140625,"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"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9944000244140625,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9851999878883362,"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/T11666","display_name":"Color Science and Applications","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.7208766937255859},{"id":"https://openalex.org/keywords/optical-transfer-function","display_name":"Optical transfer function","score":0.670539140701294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.605373740196228},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5168155431747437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45586490631103516},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4115482568740845},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3200506567955017},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22745811939239502},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.155506432056427},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09619402885437012},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09090110659599304}],"concepts":[{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.7208766937255859},{"id":"https://openalex.org/C175231954","wikidata":"https://www.wikidata.org/wiki/Q1942321","display_name":"Optical transfer function","level":2,"score":0.670539140701294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.605373740196228},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5168155431747437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45586490631103516},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4115482568740845},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3200506567955017},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22745811939239502},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.155506432056427},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09619402885437012},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09090110659599304}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.2352/issn.2470-1173.2018.12.iqsp-231","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2018.12.iqsp-231","pdf_url":"https://library.imaging.org/ei/articles/30/12/art00007","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:westminsterresearch.westminster.ac.uk:q44vv","is_oa":false,"landing_page_url":"https://doi.org/10.2352/ISSN.2470-1173.2018.12.IQSP-231","pdf_url":null,"source":{"id":"https://openalex.org/S4306400277","display_name":"WestminsterResearch (University of Westminster)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I94951947","host_organization_name":"University of Westminster","host_organization_lineage":["https://openalex.org/I94951947"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"conference-paper"},{"id":"pmh:oai:westminsterresearch.wmin.ac.uk:20787","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400277","display_name":"WestminsterResearch (University of Westminster)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I94951947","host_organization_name":"University of Westminster","host_organization_lineage":["https://openalex.org/I94951947"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":{"id":"doi:10.2352/issn.2470-1173.2018.12.iqsp-231","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2018.12.iqsp-231","pdf_url":"https://library.imaging.org/ei/articles/30/12/art00007","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":[{"id":"https://metadata.un.org/sdg/10","score":0.5600000023841858,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2799706634.pdf","grobid_xml":"https://content.openalex.org/works/W2799706634.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W26020760","https://openalex.org/W157860155","https://openalex.org/W1580389772","https://openalex.org/W1981664903","https://openalex.org/W1982471090","https://openalex.org/W1987489060","https://openalex.org/W1996264907","https://openalex.org/W2006706861","https://openalex.org/W2007932953","https://openalex.org/W2008193788","https://openalex.org/W2009272644","https://openalex.org/W2046119925","https://openalex.org/W2049163239","https://openalex.org/W2062666997","https://openalex.org/W2063773834","https://openalex.org/W2091763626","https://openalex.org/W2095776733","https://openalex.org/W2129644086","https://openalex.org/W2130414230","https://openalex.org/W2133665775","https://openalex.org/W2133946027","https://openalex.org/W2141847061","https://openalex.org/W2142884912","https://openalex.org/W2145703490","https://openalex.org/W2171349048","https://openalex.org/W2474830469","https://openalex.org/W2522890040","https://openalex.org/W2564638022","https://openalex.org/W2584813282","https://openalex.org/W2774336789","https://openalex.org/W4241843841","https://openalex.org/W4312684862","https://openalex.org/W6651939581","https://openalex.org/W6733192350"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W2031102909","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W4360979585","https://openalex.org/W2044176008","https://openalex.org/W2346610943","https://openalex.org/W2131310013","https://openalex.org/W2083069507"],"abstract_inverted_index":{"Imaging":[0],"system":[1,57,84,118,157],"performance":[2,62,114,175],"measures":[3,63,109,149],"and":[4,41,75,96,107,142,146,167,196],"Image":[5,37],"Quality":[6],"Metrics":[7,39],"(IQM)":[8],"are":[9,133],"reviewed":[10],"from":[11,154],"a":[12],"systems":[13,67],"engineering":[14],"perspective,":[15],"focusing":[16],"on":[17],"spatial":[18],"quality":[19,58,98,178,184],"of":[20,48,140,163],"still":[21],"image":[22,177,183],"capture":[23,56],"systems.":[24],"We":[25,90,136],"classify":[26],"IQMs":[27,31,35,45],"broadly":[28],"as:":[29],"Computational":[30],"(CP-IQM),":[32],"Multivariate":[33],"Formalism":[34],"(MF-IQM),":[36],"Fidelity":[38],"(IF-IQM),":[40],"Signal":[42],"Transfer":[43,72],"Visual":[44],"(STV-IQM).":[46],"Comparison":[47],"each":[49],"genre":[50],"finds":[51],"STV-IQMs":[52,95],"well":[53],"suited":[54],"for":[55,127],"evaluation:":[59],"they":[60],"incorporate":[61],"relevant":[64],"to":[65,86,170],"optical":[66],"design,":[68],"such":[69],"as":[70],"Modulation":[71],"Function":[73],"(MTF)":[74],"Noise-Power":[76],"Spectrum":[77],"(NPS);":[78],"their":[79],"bottom-up,":[80],"modular":[81],"approach":[82],"enables":[83],"components":[85],"be":[87],"optimized":[88],"separately.":[89],"suggest":[91],"that":[92,138,187],"correlation":[93],"between":[94,193],"observer":[97],"scores":[99],"is":[100],"limited":[101],"by":[102,116],"three":[103],"factors:":[104],"current":[105],"MTF":[106,144],"NPS":[108,147],"do":[110,124],"not":[111,125,134],"characterize":[112],"scene-dependent":[113],"introduced":[115],"imaging":[117],"non-linearities;":[119],"contrast":[120,165,194],"sensitivity":[121],"models":[122,169],"employed":[123],"account":[126],"contextual":[128,164],"masking":[129],"effects;":[130],"cognitive":[131],"factors":[132],"considered.":[135],"hypothesize":[137],"implementation":[139,162],"scene":[141,155],"process-dependent":[143],"(SPD-MTF)":[145],"(SPD-NPS)":[148],"should":[150],"mitigate":[151],"errors":[152],"originating":[153],"dependent":[156],"performance.":[158],"Further,":[159],"we":[160,181],"propose":[161],"detection":[166],"discrimination":[168],"better":[171],"represent":[172],"low-level":[173],"visual":[174],"in":[176],"analysis.":[179],"Finally,":[180],"discuss":[182],"optimization":[185],"functions":[186],"may":[188],"potentially":[189],"close":[190],"the":[191],"gap":[192],"detection/discrimination":[195],"quality.":[197]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}