{"id":"https://openalex.org/W2122742285","doi":"https://doi.org/10.1109/cvpr.2008.4587413","title":"Single-image vignetting correction using radial gradient symmetry","display_name":"Single-image vignetting correction using radial gradient symmetry","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2122742285","doi":"https://doi.org/10.1109/cvpr.2008.4587413","mag":"2122742285"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-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/A5007211501","display_name":"Yuanjie Zheng","orcid":"https://orcid.org/0000-0002-5786-2491"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanjie Zheng","raw_affiliation_strings":["University of Delaware, Newark, DE, USA","University of Delaware; Newark DE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"University of Delaware; Newark DE","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101500646","display_name":"Jingyi Yu","orcid":"https://orcid.org/0000-0001-9198-6853"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingyi Yu","raw_affiliation_strings":["University of Delaware, Newark, DE, USA","University of Delaware; Newark DE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"University of Delaware; Newark DE","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004671096","display_name":"Sing Bing Kang","orcid":"https://orcid.org/0000-0003-2016-2915"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sing Bing Kang","raw_affiliation_strings":["Microsoft Research Limited, Redmond, WA, USA","[Microsoft Research,Redmond,WA,USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Limited, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"[Microsoft Research,Redmond,WA,USA]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025114648","display_name":"Stephen Lin","orcid":"https://orcid.org/0000-0002-5616-558X"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Stephen Lin","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076482730","display_name":"Chandra Kambhamettu","orcid":"https://orcid.org/0000-0001-5306-3994"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chandra Kambhamettu","raw_affiliation_strings":["University of Delaware, Newark, DE, USA","University of delaware, Newark, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"University of delaware, Newark, USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.325,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.95902747,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/vignetting","display_name":"Vignetting","score":0.9980903267860413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5196586847305298},{"id":"https://openalex.org/keywords/asymmetry","display_name":"Asymmetry","score":0.5023024082183838},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4578195810317993},{"id":"https://openalex.org/keywords/symmetry-in-biology","display_name":"Symmetry in biology","score":0.44588908553123474},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4377385377883911},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4314887523651123},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.42924126982688904},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4140080511569977},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38650426268577576},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.28947997093200684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2694510221481323},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.24992984533309937},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09124541282653809},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06657537817955017}],"concepts":[{"id":"https://openalex.org/C14740026","wikidata":"https://www.wikidata.org/wiki/Q1136665","display_name":"Vignetting","level":3,"score":0.9980903267860413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5196586847305298},{"id":"https://openalex.org/C38976095","wikidata":"https://www.wikidata.org/wiki/Q752641","display_name":"Asymmetry","level":2,"score":0.5023024082183838},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4578195810317993},{"id":"https://openalex.org/C64089718","wikidata":"https://www.wikidata.org/wiki/Q598159","display_name":"Symmetry in biology","level":2,"score":0.44588908553123474},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4377385377883911},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4314887523651123},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42924126982688904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4140080511569977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38650426268577576},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.28947997093200684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2694510221481323},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.24992984533309937},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09124541282653809},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06657537817955017},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2008.4587413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.454.2503","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.454.2503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://pages.cs.wisc.edu/~flynn/cs638_project_files/vignetting.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1599223134","https://openalex.org/W2083242296","https://openalex.org/W2085927826","https://openalex.org/W2097713019","https://openalex.org/W2098535678","https://openalex.org/W2113736446","https://openalex.org/W2114582531","https://openalex.org/W2121927366","https://openalex.org/W2126369166","https://openalex.org/W2131686571","https://openalex.org/W2133071149","https://openalex.org/W2135473332","https://openalex.org/W2136748901","https://openalex.org/W2139643804","https://openalex.org/W2141307474","https://openalex.org/W2149396346","https://openalex.org/W2151745355","https://openalex.org/W2154571593","https://openalex.org/W2159133693","https://openalex.org/W2159330172","https://openalex.org/W2165445997","https://openalex.org/W2170126000","https://openalex.org/W2172662720","https://openalex.org/W2432517183","https://openalex.org/W2981264952","https://openalex.org/W3144890709","https://openalex.org/W4247043502","https://openalex.org/W4285719527","https://openalex.org/W6635936137","https://openalex.org/W6652701617","https://openalex.org/W6676075529","https://openalex.org/W6680389264","https://openalex.org/W6680547202","https://openalex.org/W6683354176"],"related_works":["https://openalex.org/W1669643531","https://openalex.org/W2122581818","https://openalex.org/W2159066190","https://openalex.org/W2739874619","https://openalex.org/W2117933325","https://openalex.org/W2110230079","https://openalex.org/W2117664411","https://openalex.org/W1507266234","https://openalex.org/W1967061043","https://openalex.org/W2549936415"],"abstract_inverted_index":{"In":[0],"this":[1,52,63],"paper,":[2],"we":[3],"present":[4],"a":[5,103,111,118],"novel":[6],"single-image":[7,82],"vignetting":[8,47,69,83],"method":[9,86],"based":[10],"on":[11],"the":[12,16,24,28,34,40,74,92],"symmetric":[13],"distribution":[14,42,53],"of":[15,62,66,73,106,113],"radial":[17,21,29],"gradient":[18,22,26],"(RG).":[19],"The":[20],"is":[23,48,54],"image":[25,35],"along":[27],"direction":[30],"with":[31,78,117],"respect":[32],"to":[33,81],"center.":[36],"We":[37,58],"show":[38,98],"that":[39],"RG":[41,75],"for":[43,102],"natural":[44],"images":[45,107],"without":[46],"generally":[49,95],"symmetric.":[50],"However,":[51],"skewed":[55],"by":[56,70],"vignetting.":[57],"develop":[59],"two":[60],"variants":[61],"technique,":[64],"both":[65],"which":[67],"remove":[68],"minimizing":[71],"asymmetry":[72],"distribution.":[76],"Compared":[77],"prior":[79],"approaches":[80],"correction,":[84],"our":[85,99],"does":[87],"not":[88],"require":[89],"segmentation":[90],"and":[91,108],"results":[93],"are":[94],"better.":[96],"Experiments":[97],"technique":[100],"works":[101],"wide":[104],"range":[105],"it":[109],"achieves":[110],"speed-up":[112],"4\u20195":[114],"times":[115],"compared":[116],"state-of-the-art":[119],"method.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}