{"id":"https://openalex.org/W2155915652","doi":"https://doi.org/10.1109/tce.2009.5373800","title":"Smear removal algorithm using the optical black region for CCD imaging sensors","display_name":"Smear removal algorithm using the optical black region for CCD imaging sensors","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2155915652","doi":"https://doi.org/10.1109/tce.2009.5373800","mag":"2155915652"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2009.5373800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2009.5373800","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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/A5019429913","display_name":"Young Taek Han","orcid":"https://orcid.org/0000-0002-3617-1181"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young Han","raw_affiliation_strings":["Institute of TMS Information Technology, Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of TMS Information Technology, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111813134","display_name":"Euncheol Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Euncheol Choi","raw_affiliation_strings":["Institute of TMS Information Technology, Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of TMS Information Technology, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027284352","display_name":"Moon Gi Kang","orcid":"https://orcid.org/0000-0002-5771-929X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Moon Kang","raw_affiliation_strings":["Institute of TMS Information Technology, Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of TMS Information Technology, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2207,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.82042199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"55","issue":"4","first_page":"2287","last_page":"2293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"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/pixel","display_name":"Pixel","score":0.816428542137146},{"id":"https://openalex.org/keywords/charge-coupled-device","display_name":"Charge-coupled device","score":0.7336809039115906},{"id":"https://openalex.org/keywords/shutter","display_name":"Shutter","score":0.6568512916564941},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.6317325234413147},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6029694676399231},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5571562051773071},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5258933901786804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5135467052459717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5086982846260071},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4202103614807129},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.41984957456588745},{"id":"https://openalex.org/keywords/fixed-pattern-noise","display_name":"Fixed-pattern noise","score":0.4146173596382141},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4115581810474396},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3984297513961792},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.36276328563690186},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.32030534744262695},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3177212178707123},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.212770015001297}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.816428542137146},{"id":"https://openalex.org/C152213855","wikidata":"https://www.wikidata.org/wiki/Q189880","display_name":"Charge-coupled device","level":2,"score":0.7336809039115906},{"id":"https://openalex.org/C2776871301","wikidata":"https://www.wikidata.org/wiki/Q691823","display_name":"Shutter","level":2,"score":0.6568512916564941},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.6317325234413147},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6029694676399231},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5571562051773071},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5258933901786804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5135467052459717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5086982846260071},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4202103614807129},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.41984957456588745},{"id":"https://openalex.org/C2778368474","wikidata":"https://www.wikidata.org/wiki/Q5456322","display_name":"Fixed-pattern noise","level":3,"score":0.4146173596382141},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4115581810474396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3984297513961792},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.36276328563690186},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32030534744262695},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3177212178707123},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.212770015001297},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2009.5373800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2009.5373800","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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":9,"referenced_works":["https://openalex.org/W96697480","https://openalex.org/W1976796074","https://openalex.org/W2049909233","https://openalex.org/W2072425039","https://openalex.org/W2096865339","https://openalex.org/W2122854986","https://openalex.org/W2149354278","https://openalex.org/W2214037198","https://openalex.org/W2247432339"],"related_works":["https://openalex.org/W2070006946","https://openalex.org/W3195523115","https://openalex.org/W2113161267","https://openalex.org/W2155915652","https://openalex.org/W2050459531","https://openalex.org/W2115290072","https://openalex.org/W2489658178","https://openalex.org/W2142994350","https://openalex.org/W2093154498","https://openalex.org/W2122084678"],"abstract_inverted_index":{"Smearing":[0],"is":[1,90,136],"an":[2],"inevitable":[3],"phenomenon":[4],"that":[5,50],"occurs":[6],"during":[7],"the":[8,70,81,88,102,108,112,116,120,132,140,143,149,153,159,163],"charge":[9,103],"transfer":[10],"process":[11],"with":[12],"CCD":[13,84],"imaging":[14,55,85],"sensors.":[15,86],"For":[16,105],"still":[17,60],"images,":[18],"smearing":[19],"can":[20,51],"be":[21,36,52],"reduced":[22],"by":[23,101,128,158],"using":[24],"a":[25,46,75,124],"mechanical":[26],"shutter":[27],"or":[28],"special":[29],"drive":[30],"methods,":[31],"but":[32,62],"these":[33],"techniques":[34],"cannot":[35],"applied":[37,53],"to":[38,54,94,147,166],"image":[39,64],"sequences.":[40,65],"In":[41],"this":[42,106],"paper,":[43],"we":[44],"propose":[45],"smear":[47,98,113,150],"removal":[48],"algorithm":[49,68],"systems":[56],"for":[57],"not":[58,91],"only":[59],"images":[61],"also":[63],"The":[66],"proposed":[67,109],"uses":[69],"optical":[71],"black":[72],"region":[73,146],"(OBR),":[74],"group":[76],"of":[77,83,162],"pixels":[78,155,165],"located":[79],"in":[80,119,142],"boundary":[82],"Although":[87],"OBR":[89,121,126,134],"generally":[92],"exposed":[93],"light,":[95],"it":[96],"contains":[97],"information":[99],"caused":[100],"transport.":[104],"reason,":[107],"method":[110],"estimates":[111],"component":[114],"from":[115,139],"signal":[117,127,135],"recorded":[118],"and":[122],"produces":[123],"corrected":[125,133],"removing":[129],"noise.":[130],"Then,":[131],"uniformly":[137],"subtracted":[138],"signals":[141],"effective":[144],"pixel":[145],"eliminate":[148],"effect.":[151],"Moreover,":[152],"saturated":[154],"are":[156],"substituted":[157],"weighted":[160],"average":[161],"neighboring":[164],"prevent":[167],"visual":[168],"degradation.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}