{"id":"https://openalex.org/W2050114396","doi":"https://doi.org/10.1109/icpr.2008.4760990","title":"Fast super-resolution for license plate image reconstruction","display_name":"Fast super-resolution for license plate image reconstruction","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2050114396","doi":"https://doi.org/10.1109/icpr.2008.4760990","mag":"2050114396"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4760990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4760990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111450404","display_name":"Jie Yuan","orcid":"https://orcid.org/0000-0001-6528-5500"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yuan","raw_affiliation_strings":["Dept. of Electron. Sci. & Eng., Nanjing Univ., Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electron. Sci. & Eng., Nanjing Univ., Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046137144","display_name":"Sidan Du","orcid":"https://orcid.org/0000-0001-6432-3704"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si-dan Du","raw_affiliation_strings":["Dept. of Electron. Sci. & Eng., Nanjing Univ., Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electron. Sci. & Eng., Nanjing Univ., Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014873304","display_name":"Xiang Zhu","orcid":"https://orcid.org/0000-0002-3973-4998"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhu","raw_affiliation_strings":["Dept. of Electron. Sci. & Eng., Nanjing Univ., Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electron. Sci. & Eng., Nanjing Univ., Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":1.3034,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.79784169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6065","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9966999888420105,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9940999746322632,"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/computer-vision","display_name":"Computer vision","score":0.7125045657157898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7096837162971497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7084444761276245},{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.6533504724502563},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5886706709861755},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5685044527053833},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5561137795448303},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5073439478874207},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46907752752304077},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4586704969406128},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.4158342480659485},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37527599930763245},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.3067736327648163}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7125045657157898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7096837162971497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7084444761276245},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.6533504724502563},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5886706709861755},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5685044527053833},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5561137795448303},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5073439478874207},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46907752752304077},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4586704969406128},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.4158342480659485},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37527599930763245},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.3067736327648163},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2008.4760990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4760990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1979715606","https://openalex.org/W1999666556","https://openalex.org/W2029901686","https://openalex.org/W2125897793","https://openalex.org/W2126366561","https://openalex.org/W2131274191","https://openalex.org/W2149678002","https://openalex.org/W2156930033","https://openalex.org/W6645158982","https://openalex.org/W6679764718"],"related_works":["https://openalex.org/W2099840350","https://openalex.org/W3211627194","https://openalex.org/W2280716820","https://openalex.org/W2159754708","https://openalex.org/W3097784260","https://openalex.org/W136090951","https://openalex.org/W3110860290","https://openalex.org/W2367149325","https://openalex.org/W4312916146","https://openalex.org/W2082599487"],"abstract_inverted_index":{"A":[0],"fast":[1],"super-resolution":[2],"reconstruction":[3,56],"algorithm":[4,38,51,76],"designed":[5],"for":[6],"license":[7],"plate":[8],"recognition":[9,82],"is":[10,39,52],"proposed":[11,50],"in":[12,36,80],"this":[13,37],"paper.":[14],"It":[15],"uses":[16],"a":[17],"new":[18],"reduced":[19],"cost":[20,34],"function":[21],"to":[22,67,84,89],"produce":[23],"images":[24,63],"of":[25,48,93],"higher":[26],"resolution":[27,30],"from":[28],"low":[29],"frame":[31],"sequences.":[32],"Computational":[33],"required":[35],"much":[40],"lower":[41],"compared":[42],"with":[43,58],"other":[44],"methods.":[45],"The":[46,74],"effectiveness":[47],"the":[49,91],"demonstrated":[53],"through":[54],"blind":[55],"experiments":[57],"real":[59],"videos,":[60],"whose":[61],"result":[62],"are":[64],"nearly":[65],"equivalent":[66],"those":[68],"yielded":[69],"by":[70],"classical":[71],"MAP-based":[72],"approaches.":[73],"presented":[75],"can":[77],"be":[78],"applied":[79],"real-time":[81],"systems":[83],"improve":[85],"their":[86],"performances,":[87],"and":[88],"reduce":[90],"requirement":[92],"imaging":[94],"hardware.":[95]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}