{"id":"https://openalex.org/W7155016480","doi":"https://doi.org/10.1109/tci.2026.3684392","title":"VTVC: Vignetting Correction Based on Variant Transformer and Spatial Self Attention","display_name":"VTVC: Vignetting Correction Based on Variant Transformer and Spatial Self Attention","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7155016480","doi":"https://doi.org/10.1109/tci.2026.3684392"},"language":null,"primary_location":{"id":"doi:10.1109/tci.2026.3684392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2026.3684392","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","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":null,"display_name":"Zhuang He","orcid":"https://orcid.org/0000-0002-6744-973X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuang He","raw_affiliation_strings":["Hangzhou Innovation Institute of Beihang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6744-973X","affiliations":[{"raw_affiliation_string":"Hangzhou Innovation Institute of Beihang University, Hangzhou, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134031179","display_name":"Haoxin Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxin Hu","raw_affiliation_strings":["Hangzhou Innovation Institute of Beihang University, Hangzhou, China","State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Innovation Institute of Beihang University, Hangzhou, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047332757","display_name":"Haowen Zheng","orcid":"https://orcid.org/0000-0002-3750-4101"},"institutions":[{"id":"https://openalex.org/I4210119119","display_name":"Beijing Administration Institute","ror":"https://ror.org/02mf18m55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110145","https://openalex.org/I4210119119"]},{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haowen Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-6827-3320","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beijing, Beijing, China","institution_ids":["https://openalex.org/I78675632","https://openalex.org/I4210119119"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071329803","display_name":"Hai\u2010Miao Hu","orcid":"https://orcid.org/0000-0001-6811-9209"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai-Miao Hu","raw_affiliation_strings":["Hangzhou Innovation Institute of Beihang University, Hangzhou, China","State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6811-9209","affiliations":[{"raw_affiliation_string":"Hangzhou Innovation Institute of Beihang University, Hangzhou, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.73534092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"850","last_page":"862"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.0877000018954277,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.0877000018954277,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.04619999974966049,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12759","display_name":"Vehicle Noise and Vibration Control","score":0.029899999499320984,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/vignetting","display_name":"Vignetting","score":0.6746000051498413},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4510999917984009},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4291999936103821},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42309999465942383},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33410000801086426},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3093000054359436}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7134000062942505},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6791999936103821},{"id":"https://openalex.org/C14740026","wikidata":"https://www.wikidata.org/wiki/Q1136665","display_name":"Vignetting","level":3,"score":0.6746000051498413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6510000228881836},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4510999917984009},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4291999936103821},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42309999465942383},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33410000801086426},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3093000054359436},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2026.3684392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2026.3684392","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Vignetting":[0],"correction":[1,23,43,82,161,182,212,242],"is":[2,11,60,103],"an":[3],"essential":[4],"part":[5],"for":[6,13,62,125],"image":[7,71,145],"signal":[8],"processor.":[9],"It":[10],"important":[12],"imaging":[14],"systems":[15],"to":[16,64,120,138,156,167],"get":[17,168],"high":[18],"quality":[19],"images.":[20],"Traditional":[21],"vignetting":[22,42,68,81,126,152,160,169,181,207,211,241],"methods":[24,44,55],"are":[25,56,136],"almost":[26],"based":[27,192],"on":[28,193,201,223],"traditional":[29,111],"hand-crafted":[30],"features,":[31],"which":[32,59,84],"usually":[33],"perform":[34],"poorly":[35],"in":[36],"complex":[37],"scenario.":[38],"Recently,":[39],"deep":[40,79],"learningbased":[41],"have":[45,220],"been":[46,221,236],"widely":[47],"studied.":[48],"However,":[49],"the":[50,66,70,107,122,140,144,149,157,173,178,194,202,209,224,228,231,239,245],"receptive":[51,123],"fields":[52,124],"of":[53,69,110,151,159,197,205],"these":[54],"relatively":[57],"small,":[58],"difficult":[61],"them":[63],"estimate":[65],"overall":[67],"accurately.":[72,217],"In":[73],"this":[74],"paper,":[75],"we":[76,163,185],"proposed":[77,187,210,240],"a":[78,114,165,188],"learning-based":[80],"model":[83],"includes":[85],"three":[86],"major":[87],"components:":[88],"variant":[89,100],"transformer":[90,101,112],"structure,":[91],"multiple":[92,129],"layer":[93,130],"upsampling":[94,131],"and":[95,132,142,176],"spatial":[96,133],"self":[97,134],"attention.":[98],"The":[99,128],"structure":[102,115],"construct":[104,177],"by":[105],"replacing":[106],"multi-layer":[108],"perceptron":[109],"with":[113,230],"extractor":[116],"module,":[117],"so":[118],"that":[119,238],"improve":[121,139],"estimation.":[127],"attention":[135],"used":[137],"resolution":[141],"preserve":[143],"details,":[146],"thereby":[147],"improving":[148],"accuracy":[150],"correction.":[153],"Additionally,":[154],"due":[155],"lack":[158],"dataset,":[162,208],"introduced":[164],"method":[166,191],"images":[170],"through":[171],"capturing":[172],"real":[174],"world,":[175],"first":[179],"thousand-level":[180],"dataset.":[183,226],"Besides,":[184],"also":[186],"data":[189],"augmentation":[190],"optical":[195],"principle":[196],"vignetting.":[198],"Through":[199,227],"training":[200],"large":[203],"amount":[204],"real-world":[206],"network":[213,243],"can":[214],"be":[215],"trained":[216],"Many":[218],"experiments":[219],"done":[222],"conducted":[225],"comparison":[229],"state-of-the-art":[232],"algorithms,":[233],"it":[234],"has":[235],"verified":[237],"demonstrates":[244],"best":[246],"performance.":[247]},"counts_by_year":[],"updated_date":"2026-05-15T06:05:50.897203","created_date":"2026-04-21T00:00:00"}
