{"id":"https://openalex.org/W2770637285","doi":"https://doi.org/10.1109/tits.2017.2762406","title":"Sharpness Enhancement and Super-Resolution of Around-View Monitor Images","display_name":"Sharpness Enhancement and Super-Resolution of Around-View Monitor Images","publication_year":2017,"publication_date":"2017-11-13","ids":{"openalex":"https://openalex.org/W2770637285","doi":"https://doi.org/10.1109/tits.2017.2762406","mag":"2770637285"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2017.2762406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2017.2762406","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5064208134","display_name":"Dong-Yoon Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dong-Yoon Choi","raw_affiliation_strings":["Department of Electronic Engineering, Inha University, Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101826841","display_name":"Ji\u2010Hoon Choi","orcid":"https://orcid.org/0000-0002-5133-8576"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]},{"id":"https://openalex.org/I49946491","display_name":"Hyundai Motors (South Korea)","ror":"https://ror.org/016kvft77","country_code":"KR","type":"company","lineage":["https://openalex.org/I197312522","https://openalex.org/I49946491"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ji-Hoon Choi","raw_affiliation_strings":["ADAS Recognition Development Team, Hyundai Motor Company, Hwaseong-si, South Korea","Department of Electronic Engineering, Inha University, Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ADAS Recognition Development Team, Hyundai Motor Company, Hwaseong-si, South Korea","institution_ids":["https://openalex.org/I49946491"]},{"raw_affiliation_string":"Department of Electronic Engineering, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051234199","display_name":"Jinwook Choi","orcid":"https://orcid.org/0000-0002-9424-9944"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]},{"id":"https://openalex.org/I49946491","display_name":"Hyundai Motors (South Korea)","ror":"https://ror.org/016kvft77","country_code":"KR","type":"company","lineage":["https://openalex.org/I197312522","https://openalex.org/I49946491"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinwook Choi","raw_affiliation_strings":["ADAS Recognition Development Team, Hyundai Motor Company, Hwaseong-si, South Korea","Department of Electronic Engineering, Inha University, Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ADAS Recognition Development Team, Hyundai Motor Company, Hwaseong-si, South Korea","institution_ids":["https://openalex.org/I49946491"]},{"raw_affiliation_string":"Department of Electronic Engineering, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065677543","display_name":"Byung Cheol Song","orcid":"https://orcid.org/0000-0001-8742-3433"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byung Cheol Song","raw_affiliation_strings":["Department of Electronic Engineering, Inha University, Incheon, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-8742-3433","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064208134"],"corresponding_institution_ids":["https://openalex.org/I191879574"],"apc_list":null,"apc_paid":null,"fwci":0.1849,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.59086075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"19","issue":"8","first_page":"2650","last_page":"2662"},"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":0.9988999962806702,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9973999857902527,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.745577871799469},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7021675705909729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6809942126274109},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.47726577520370483},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4345419108867645},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.43076857924461365},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4240271747112274},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.41658732295036316},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29464173316955566}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.745577871799469},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7021675705909729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6809942126274109},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.47726577520370483},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4345419108867645},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43076857924461365},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4240271747112274},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.41658732295036316},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29464173316955566}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2017.2762406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2017.2762406","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1421378378","display_name":null,"funder_award_id":"2016R1A2B4007353","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W164384110","https://openalex.org/W935139217","https://openalex.org/W1545641654","https://openalex.org/W1762731526","https://openalex.org/W1930824406","https://openalex.org/W1976416062","https://openalex.org/W2027320904","https://openalex.org/W2049466529","https://openalex.org/W2055399164","https://openalex.org/W2055616670","https://openalex.org/W2063188426","https://openalex.org/W2097074225","https://openalex.org/W2110608248","https://openalex.org/W2113350594","https://openalex.org/W2117865218","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2125188192","https://openalex.org/W2133665775","https://openalex.org/W2138088051","https://openalex.org/W2145367339","https://openalex.org/W2147298660","https://openalex.org/W2165939075","https://openalex.org/W2166538457","https://openalex.org/W2167307343","https://openalex.org/W2172128189","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2274060610","https://openalex.org/W2307739658","https://openalex.org/W2343843902","https://openalex.org/W2474628748","https://openalex.org/W3023411394","https://openalex.org/W3104720471","https://openalex.org/W6624640001","https://openalex.org/W6681807782","https://openalex.org/W6684694354"],"related_works":["https://openalex.org/W2164918837","https://openalex.org/W3217021205","https://openalex.org/W2611645609","https://openalex.org/W1604511055","https://openalex.org/W2026847083","https://openalex.org/W2147047527","https://openalex.org/W2280716820","https://openalex.org/W2110633874","https://openalex.org/W2141020570","https://openalex.org/W2319726853"],"abstract_inverted_index":{"In":[0,73],"the":[1,11,14,26,31,39,62,67,77,95,108,111,119,135,151,156,161,184],"wide-angle":[2],"(WA)":[3],"images":[4,101,114,125],"embedded":[5],"in":[6,13,167],"an":[7],"around-view":[8],"monitor":[9],"system,":[10],"subject(s)":[12],"peripheral":[15],"region":[16,28,69],"is":[17,131],"normally":[18],"small":[19],"and":[20,35,88,97,141,158,179],"has":[21],"little":[22],"information.":[23],"Furthermore,":[24],"since":[25],"outer":[27,68],"suffers":[29],"from":[30],"non-uniform":[32],"blur":[33],"phenomenon":[34],"artifact":[36],"caused":[37],"by":[38,115,126],"inherent":[40],"optical":[41],"characteristic":[42],"of":[43,66,70,99,110,160,169],"WA":[44,71,100,113,164],"lenses,":[45],"its":[46],"visual":[47,64],"quality":[48,65],"tends":[49],"to":[50,53,75,134],"deteriorate.":[51],"According":[52],"our":[54],"experiments,":[55],"conventional":[56],"image":[57],"enhancement":[58,86],"techniques":[59],"rarely":[60],"improve":[61,94],"degraded":[63],"images.":[72,165],"order":[74],"solve":[76],"above-mentioned":[78],"problem,":[79],"this":[80],"paper":[81],"proposes":[82],"a":[83,144,200],"joint":[84],"sharpness":[85,96,109,157],"(SE)":[87],"super-resolution":[89],"(SR)":[90],"algorithm":[91,106,122],"which":[92,130],"can":[93],"resolution":[98,159],"together.":[102],"The":[103],"proposed":[104,120,152,185],"SE":[105],"improves":[107,155],"deteriorated":[112,163],"exploiting":[116],"self-similarity.":[117],"Also,":[118],"SR":[121],"generates":[123],"super-resolved":[124],"using":[127],"high-resolution":[128],"information":[129],"classified":[132],"according":[133],"extended":[136],"local":[137],"binary":[138],"pattern-based":[139],"classifier":[140],"learned":[142],"on":[143,199],"pattern":[145],"basis.":[146],"Experimental":[147],"results":[148],"show":[149],"that":[150,191],"scheme":[153,186],"effectively":[154],"input":[162],"Even":[166],"terms":[168],"quantitative":[170],"metrics":[171],"such":[172,190],"as":[173],"just":[174],"noticeable":[175],"blur,":[176],"structural":[177],"similarity,":[178],"peak":[180],"signal-to-noise":[181],"ratio.":[182],"Finally,":[183],"guarantees":[187],"real-time":[188],"processing":[189],"it":[192],"achieves":[193],"720p":[194],"video":[195],"at":[196],"29":[197],"Hz":[198],"low":[201],"cost":[202],"GPU":[203],"platform.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}