{"id":"https://openalex.org/W1999382099","doi":"https://doi.org/10.1137/090766371","title":"Stabilization of Flicker-Like Effects in Image Sequences through Local Contrast Correction","display_name":"Stabilization of Flicker-Like Effects in Image Sequences through Local Contrast Correction","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1999382099","doi":"https://doi.org/10.1137/090766371","mag":"1999382099"},"language":"en","primary_location":{"id":"doi:10.1137/090766371","is_oa":false,"landing_page_url":"https://doi.org/10.1137/090766371","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","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/A5019518434","display_name":"Julie Delon","orcid":"https://orcid.org/0000-0002-7182-7537"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Julie Delon","raw_affiliation_strings":["julie.delon@enst.fr#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"julie.delon@enst.fr#TAB#","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023943220","display_name":"Agn\u00e8s Desolneux","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Agn\u00e8s Desolneux","raw_affiliation_strings":["Agnes.Desolneux@mi.parisdescartes.fr#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agnes.Desolneux@mi.parisdescartes.fr#TAB#","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2216,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.88413592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"3","issue":"4","first_page":"703","last_page":"734"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9991000294685364,"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/T13579","display_name":"Image and Video Stabilization","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/contrast","display_name":"Contrast (vision)","score":0.7021761536598206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6178132891654968},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5693630576133728},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5453405380249023},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5358421206474304},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5324351191520691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5186840295791626},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5077403783798218},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44844114780426025},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40757495164871216},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35963886976242065}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.7021761536598206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6178132891654968},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5693630576133728},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5453405380249023},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5358421206474304},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5324351191520691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5186840295791626},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5077403783798218},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44844114780426025},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40757495164871216},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35963886976242065},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/090766371","is_oa":false,"landing_page_url":"https://doi.org/10.1137/090766371","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G823972367","display_name":"Films, REstauration Et DOnn\u00e9es Manquantes","funder_award_id":"ANR-07-JCJC-0048","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G954483439","display_name":"Optimal Transport: Theory and Applications to cosmological Reconstruction and Image processing","funder_award_id":"ANR-07-BLAN-0235","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1539437305","https://openalex.org/W1974886928","https://openalex.org/W2007866395","https://openalex.org/W2017399967","https://openalex.org/W2028334185","https://openalex.org/W2030716039","https://openalex.org/W2058054355","https://openalex.org/W2058333183","https://openalex.org/W2058751795","https://openalex.org/W2095662455","https://openalex.org/W2100315781","https://openalex.org/W2107858703","https://openalex.org/W2117821249","https://openalex.org/W2118572305","https://openalex.org/W2128228274","https://openalex.org/W2128926607","https://openalex.org/W2133251749","https://openalex.org/W2136179470","https://openalex.org/W2149974870","https://openalex.org/W2160451035","https://openalex.org/W2166546789","https://openalex.org/W2464630995","https://openalex.org/W3142504410"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2004323682","https://openalex.org/W2093931120","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473","https://openalex.org/W2060895226","https://openalex.org/W2329812990"],"abstract_inverted_index":{"In":[0,47],"this":[1,84],"paper,":[2],"we":[3,54],"address":[4],"the":[5,8,104],"problem":[6],"of":[7,10,103],"restoration":[9],"image":[11,69],"sequences":[12],"which":[13,62,77],"have":[14],"been":[15],"affected":[16],"by":[17],"local":[18,52,57],"intensity":[19],"modifications":[20],"(local":[21],"contrast":[22,81],"changes).":[23],"Such":[24],"artifacts":[25],"can":[26],"be":[27],"encountered":[28],"particularly":[29],"in":[30],"biological":[31],"or":[32,43],"archive":[33],"film":[34],"sequences,":[35],"and":[36,71],"are":[37],"usually":[38],"due":[39],"to":[40,49,80,88],"inconsistent":[41],"exposures":[42],"sparse":[44],"time":[45,66],"sampling.":[46],"order":[48],"reduce":[50],"such":[51],"artifacts,":[53],"introduce":[55],"a":[56,65,74,96],"stabilization":[58,105],"operator,":[59],"called":[60],"LStab,":[61],"acts":[63],"as":[64],"filter":[67],"on":[68,73,95,108],"patches":[70],"relies":[72],"similarity":[75],"measure":[76],"is":[78,86,106],"robust":[79],"changes.":[82],"Thereby,":[83],"operator":[85],"able":[87],"take":[89],"motion":[90,98],"into":[91],"account":[92],"without":[93],"relying":[94],"sophisticated":[97],"estimation":[99],"procedure.":[100],"The":[101,111],"efficiency":[102],"shown":[107],"various":[109],"sequences.":[110],"experimental":[112],"results":[113],"compare":[114],"favorably":[115],"with":[116],"state-of-the-art":[117],"approaches.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
