{"id":"https://openalex.org/W4320917563","doi":"https://doi.org/10.2352/ei.2023.35.8.iqsp-313","title":"Managing deviant data in spatial frequency response (SFR) measurement by outlier rejection","display_name":"Managing deviant data in spatial frequency response (SFR) measurement by outlier rejection","publication_year":2023,"publication_date":"2023-01-16","ids":{"openalex":"https://openalex.org/W4320917563","doi":"https://doi.org/10.2352/ei.2023.35.8.iqsp-313"},"language":"en","primary_location":{"id":"doi:10.2352/ei.2023.35.8.iqsp-313","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2023.35.8.iqsp-313","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/35/8/IQSP-313","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":"hybrid","oa_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/35/8/IQSP-313","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048602543","display_name":"Peter C. Burns","orcid":"https://orcid.org/0000-0002-2319-9628"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter Burns","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5109448248","display_name":"Don E. Williams","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Don Williams","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1501,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44195272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"35","issue":"8","first_page":"313","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9952999949455261,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9952999949455261,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9945999979972839,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7458064556121826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7201557159423828},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.661176323890686},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.62274569272995},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5513430237770081},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5366482138633728},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5010509490966797},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45966872572898865},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.45527806878089905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44745391607284546},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39457613229751587},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34907734394073486},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19578921794891357}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7458064556121826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7201557159423828},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.661176323890686},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.62274569272995},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5513430237770081},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5366482138633728},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5010509490966797},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45966872572898865},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.45527806878089905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44745391607284546},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39457613229751587},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34907734394073486},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19578921794891357},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/ei.2023.35.8.iqsp-313","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2023.35.8.iqsp-313","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/35/8/IQSP-313","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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-313","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2023.35.8.iqsp-313","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/35/8/IQSP-313","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4320917563.pdf","grobid_xml":"https://content.openalex.org/works/W4320917563.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2978674666","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W2005223122"],"abstract_inverted_index":{"The":[0,18],"edge-based":[1],"Spatial":[2],"Frequency":[3],"Response":[4],"(e-SFR)":[5],"method":[6,19,34,62,170],"was":[7,20],"first":[8,24],"developed":[9],"for":[10,79,81,171],"evaluating":[11],"camera":[12],"image":[13,16,93],"resolution":[14],"and":[15,48,133,146,153],"sharpness.":[17],"described":[21],"in":[22,38,148,176,183,186],"the":[23,27,33,58,61,90,102,114,123,141,149,162,187],"version":[25],"of":[26,42,57,60,89,92,116,143,164],"ISO":[28],"12233":[29],"standard.":[30],"Since":[31],"then,":[32],"has":[35,69],"been":[36],"applied":[37,126],"a":[39,169,181],"wide":[40],"range":[41],"applications,":[43],"including":[44],"medical,":[45],"security,":[46],"archiving,":[47],"document":[49],"processing.":[50],"However,":[51],"with":[52,83,135],"this":[53,110],"broad":[54],"application,":[55,78],"several":[56,72],"assumptions":[59],"are":[63],"no":[64],"longer":[65],"closely":[66],"followed.":[67],"This":[68],"led":[70],"to":[71,127,157,180],"improvements":[73],"aimed":[74],"at":[75],"broadening":[76],"its":[77],"example":[80],"lenses":[82],"spatial":[84],"distortion.":[85],"We":[86,139,160],"can":[87],"think":[88],"evaluation":[91],"quality":[94],"parameters":[95],"as":[96,168],"an":[97],"estimation":[98],"problem,":[99],"based":[100],"on":[101],"gathered":[103],"data,":[104],"often":[105],"from":[106],"digital":[107],"images.":[108],"In":[109],"paper,":[111],"we":[112],"address":[113],"mitigation":[115],"measurement":[117,152],"error":[118],"that":[119],"is":[120,125,178],"introduced":[121],"when":[122],"analysis":[124,137],"low-exposure":[128],"(and":[129],"therefore,":[130],"noisy)":[131],"applications":[132],"those":[134],"small":[136],"regions.":[138],"consider":[140],"origins":[142],"both":[144],"bias":[145,185],"variation":[147],"resulting":[150,188],"SFR":[151],"present":[154],"practical":[155],"ways":[156],"reduce":[158],"them.":[159],"describe":[161],"screening":[163],"outlier":[165],"edge-location":[166],"values":[167],"improved":[172],"edge":[173],"detection.":[174],"This,":[175],"turn,":[177],"related":[179],"reduction":[182],"negative":[184],"SFR.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}