{"id":"https://openalex.org/W4404479765","doi":"https://doi.org/10.1109/tim.2024.3500070","title":"SCFA-Net: Fast and High-Quality Network for Large-Size DR Image Enhancement","display_name":"SCFA-Net: Fast and High-Quality Network for Large-Size DR Image Enhancement","publication_year":2024,"publication_date":"2024-11-18","ids":{"openalex":"https://openalex.org/W4404479765","doi":"https://doi.org/10.1109/tim.2024.3500070"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3500070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3500070","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5075923792","display_name":"Guangwen Wang","orcid":"https://orcid.org/0009-0005-5060-0922"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangwen Wang","raw_affiliation_strings":["College of Optoelectronic Engineering, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0005-5060-0922","affiliations":[{"raw_affiliation_string":"College of Optoelectronic Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002933560","display_name":"Kuan Shen","orcid":"https://orcid.org/0009-0006-8332-0377"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuan Shen","raw_affiliation_strings":["College of Optoelectronic Engineering, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0006-8332-0377","affiliations":[{"raw_affiliation_string":"College of Optoelectronic Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085759135","display_name":"Wang Liao","orcid":"https://orcid.org/0009-0006-6420-7440"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Liao","raw_affiliation_strings":["College of Optoelectronic Engineering, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0006-6420-7440","affiliations":[{"raw_affiliation_string":"College of Optoelectronic Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":null,"display_name":"Liang Zhu","orcid":"https://orcid.org/0009-0005-0808-2615"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhu","raw_affiliation_strings":["College of Optoelectronic Engineering, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0005-0808-2615","affiliations":[{"raw_affiliation_string":"College of Optoelectronic Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18995674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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":0.9987000226974487,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9986000061035156,"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/image-quality","display_name":"Image quality","score":0.5656834840774536},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5519779920578003},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5476462244987488},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3770201802253723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29132115840911865},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14098677039146423}],"concepts":[{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5656834840774536},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5519779920578003},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5476462244987488},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3770201802253723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29132115840911865},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14098677039146423},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3500070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3500070","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1976468890","https://openalex.org/W1987444808","https://openalex.org/W2011260964","https://openalex.org/W2014886478","https://openalex.org/W2058333183","https://openalex.org/W2133665775","https://openalex.org/W2143900452","https://openalex.org/W2254039850","https://openalex.org/W2291713276","https://openalex.org/W2564205490","https://openalex.org/W2566376500","https://openalex.org/W2601040106","https://openalex.org/W2799265886","https://openalex.org/W2912147220","https://openalex.org/W2949187370","https://openalex.org/W2950689937","https://openalex.org/W2962785568","https://openalex.org/W2963134949","https://openalex.org/W2963263347","https://openalex.org/W2965217508","https://openalex.org/W2984466630","https://openalex.org/W3003838261","https://openalex.org/W3007473102","https://openalex.org/W3011440129","https://openalex.org/W3011768656","https://openalex.org/W3015044426","https://openalex.org/W3034337578","https://openalex.org/W3105273993","https://openalex.org/W3106415285","https://openalex.org/W3107113662","https://openalex.org/W3109671265","https://openalex.org/W3121661546","https://openalex.org/W3134649899","https://openalex.org/W3170697543","https://openalex.org/W3173365702","https://openalex.org/W3174792937","https://openalex.org/W3183864931","https://openalex.org/W4225672218","https://openalex.org/W4230472795","https://openalex.org/W4302110045","https://openalex.org/W4312695952","https://openalex.org/W4312757619","https://openalex.org/W4312812783","https://openalex.org/W4313160444","https://openalex.org/W4313203619","https://openalex.org/W4382240242","https://openalex.org/W4386075524","https://openalex.org/W4386902751","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6726497184","https://openalex.org/W6754146604","https://openalex.org/W6838322825"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Digital":[0],"radiography":[1],"(DR)":[2],"technology":[3,71],"is":[4,145],"characterized":[5],"by":[6,204],"high":[7],"spatial":[8],"resolution,":[9],"substantial":[10],"information":[11,207,212],"capacity,":[12],"and":[13,46,59,239],"a":[14,129,226,240],"wide":[15],"dynamic":[16],"range,":[17],"making":[18],"it":[19],"widely":[20],"applicable":[21],"in":[22,30,51,56,61,171,185],"the":[23,33,74,122,150,166,180,201],"field":[24],"of":[25,36,77,97,124,154,182,194,228],"industrial":[26],"nondestructive":[27],"testing.":[28],"However,":[29],"practical":[31],"applications,":[32],"diverse":[34],"types":[35],"workpieces":[37],"often":[38,105],"lead":[39],"to":[40,107,147,149,164,189],"many":[41],"components":[42],"with":[43,82,210],"uneven":[44],"thickness":[45],"structural":[47],"anomalies.":[48],"This":[49],"results":[50],"challenges":[52],"such":[53],"as":[54,69],"overexposure":[55],"thinner":[57],"areas":[58],"underexposure":[60],"larger":[62],"regions":[63],"during":[64],"DR":[65,100,186,196,223,241],"inspections.":[66],"In":[67],"addition,":[68],"detector":[70],"has":[72],"advanced,":[73],"pixel":[75],"matrices":[76],"detectors":[78],"have":[79],"continually":[80],"increased,":[81],"common":[83],"models":[84],"now":[85],"reaching":[86],"4k":[87,113,118,172,221],"<inline-formula":[88],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[89],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[90],"<tex-math":[91],"notation=\"LaTeX\">$\\times":[92],"4$":[93],"</tex-math></inline-formula>":[94],"k,":[95],"capable":[96],"producing":[98],"large-sized":[99,155],"images.":[101,114,156,173],"Nevertheless,":[102],"existing":[103],"methods":[104],"struggle":[106],"efficiently":[108],"process":[109,220],"or":[110],"even":[111],"infer":[112,117],"To":[115],"successfully":[116],"images":[119,224],"while":[120],"maintaining":[121],"quality":[123],"enhanced":[125],"results,":[126],"we":[127,158,198],"propose":[128],"scale-aware":[130,142],"channel":[131],"Fourier":[132,176],"transform":[133,177],"attention":[134,162],"network":[135,203],"(SCFA-Net)":[136],"based":[137],"on":[138,235],"semantic":[139],"alignment.":[140],"Semantic-aligned":[141],"module":[143,178],"(SAM)":[144],"designed":[146],"adapt":[148],"feature":[151],"extraction":[152],"requirements":[153],"Furthermore,":[157],"innovatively":[159],"introduce":[160],"an":[161],"mechanism":[163],"capture":[165],"long-range":[167],"global":[168,211],"dependencies":[169],"inherent":[170],"The":[174],"proposed":[175],"addresses":[179],"issue":[181],"exposure":[183],"inconsistency":[184],"efficiently.":[187],"Moreover,":[188],"further":[190],"achieve":[191],"high-quality":[192],"inference":[193,202],"large":[195],"images,":[197],"ultimately":[199],"modified":[200],"replacing":[205],"local":[206],"aggregation":[208],"(LRG)":[209],"aggregation.":[213],"Results":[214],"indicate":[215],"that":[216],"our":[217],"method":[218],"can":[219],"resolution":[222],"at":[225],"speed":[227],"48":[229],"frames/s,":[230],"achieving":[231],"state-of-the-art":[232],"(SOTA)":[233],"performance":[234],"two":[236],"public":[237],"datasets":[238],"dataset.":[242]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
