{"id":"https://openalex.org/W2914733350","doi":"https://doi.org/10.1109/tcsvt.2019.2897984","title":"DR-GAN: Automatic Radial Distortion Rectification Using Conditional GAN in Real-Time","display_name":"DR-GAN: Automatic Radial Distortion Rectification Using Conditional GAN in Real-Time","publication_year":2019,"publication_date":"2019-02-07","ids":{"openalex":"https://openalex.org/W2914733350","doi":"https://doi.org/10.1109/tcsvt.2019.2897984","mag":"2914733350"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2019.2897984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2897984","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5069893831","display_name":"Kang Liao","orcid":"https://orcid.org/0000-0001-9429-1096"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kang Liao","raw_affiliation_strings":["Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","Institute of Information Science, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050402282","display_name":"Chunyu Lin","orcid":"https://orcid.org/0000-0003-2847-0349"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyu Lin","raw_affiliation_strings":["Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","Institute of Information Science, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","Institute of Information Science, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007583477","display_name":"Moncef Gabbouj","orcid":"https://orcid.org/0000-0002-9788-2323"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Moncef Gabbouj","raw_affiliation_strings":["Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069893831"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":4.1909,"has_fulltext":false,"cited_by_count":110,"citation_normalized_percentile":{"value":0.95304007,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"30","issue":"3","first_page":"725","last_page":"733"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9997000098228455,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9997000098228455,"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":0.9994999766349792,"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/T10531","display_name":"Advanced Vision and Imaging","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/rectification","display_name":"Rectification","score":0.9476460218429565},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.8016922473907471},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6814378499984741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6727792024612427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6341124176979065},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5306210517883301},{"id":"https://openalex.org/keywords/image-rectification","display_name":"Image rectification","score":0.47750943899154663},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3812834620475769},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36048728227615356},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.078955739736557},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0749698281288147}],"concepts":[{"id":"https://openalex.org/C50942859","wikidata":"https://www.wikidata.org/wiki/Q4967193","display_name":"Rectification","level":3,"score":0.9476460218429565},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.8016922473907471},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6814378499984741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6727792024612427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6341124176979065},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5306210517883301},{"id":"https://openalex.org/C171614847","wikidata":"https://www.wikidata.org/wiki/Q1262415","display_name":"Image rectification","level":4,"score":0.47750943899154663},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3812834620475769},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36048728227615356},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.078955739736557},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0749698281288147},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2019.2897984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2897984","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2151065792","display_name":null,"funder_award_id":"61772066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6983000953","display_name":null,"funder_award_id":"2018JBM011","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W36923225","https://openalex.org/W1487583988","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1910129379","https://openalex.org/W2009529232","https://openalex.org/W2021581587","https://openalex.org/W2045981185","https://openalex.org/W2054489417","https://openalex.org/W2057766517","https://openalex.org/W2075544016","https://openalex.org/W2095614026","https://openalex.org/W2108598243","https://openalex.org/W2144325227","https://openalex.org/W2155799618","https://openalex.org/W2160888640","https://openalex.org/W2163605009","https://openalex.org/W2331128040","https://openalex.org/W2412782625","https://openalex.org/W2555618208","https://openalex.org/W2592756114","https://openalex.org/W2618529757","https://openalex.org/W2735970878","https://openalex.org/W2764178736","https://openalex.org/W2765277977","https://openalex.org/W2768959015","https://openalex.org/W2802932252","https://openalex.org/W2807438111","https://openalex.org/W2883102461","https://openalex.org/W2894705404","https://openalex.org/W2963073614","https://openalex.org/W2963330667","https://openalex.org/W2963470893","https://openalex.org/W2963542991","https://openalex.org/W2963583792","https://openalex.org/W2963814095","https://openalex.org/W2963917315","https://openalex.org/W2964167449","https://openalex.org/W3117804044","https://openalex.org/W3159890710","https://openalex.org/W4289238119","https://openalex.org/W6639102338","https://openalex.org/W6639824700","https://openalex.org/W6684191040","https://openalex.org/W6687506355","https://openalex.org/W6702130928","https://openalex.org/W6734937843","https://openalex.org/W6745992979","https://openalex.org/W6752881969","https://openalex.org/W6754475721","https://openalex.org/W6754918364","https://openalex.org/W6795104053"],"related_works":["https://openalex.org/W2372715484","https://openalex.org/W2755641224","https://openalex.org/W2375893148","https://openalex.org/W139502281","https://openalex.org/W2392564394","https://openalex.org/W2069867538","https://openalex.org/W2036165812","https://openalex.org/W2348028808","https://openalex.org/W2630526526","https://openalex.org/W2370721955"],"abstract_inverted_index":{"Radial":[0],"distortion,":[1],"which":[2],"severely":[3],"hinders":[4],"object":[5],"detection":[6],"and":[7,99,148,150],"semantic":[8],"recognition,":[9],"frequently":[10],"exists":[11],"in":[12,27,119,143],"images":[13,24,87],"captured":[14],"using":[15,74],"a":[16,43,103],"wide-angle":[17],"lens.":[18],"Correction":[19],"of":[20,23,56,105,117],"this":[21,33,59],"distortion":[22,37,69,92],"is":[25,60,111,123],"crucial":[26],"many":[28],"computer":[29],"vision":[30],"applications.":[31],"In":[32],"paper,":[34],"we":[35],"present":[36],"rectification":[38,118],"generative":[39,45],"adversarial":[40,46,65],"network":[41,47],"(DR-GAN),":[42],"conditional":[44],"(GAN)":[48],"for":[49,67],"automatic":[50],"radial":[51,68],"DR.":[52],"To":[53],"the":[54,61,75,81,108,115,129,137],"best":[55],"our":[57],"knowledge,":[58],"first":[62],"end-to-end":[63],"trainable":[64],"framework":[66],"rectification.":[70,101],"The":[71,132],"DR-GAN":[72,138],"trained":[73],"proposed":[76,109],"low-to-high":[77],"perceptual":[78],"loss":[79],"learns":[80],"mapping":[82],"relation":[83],"between":[84],"different":[85],"structural":[86],"rather":[88],"than":[89,128],"estimating":[90],"multifarious":[91],"parameters,":[93],"while":[94],"also":[95],"realizing":[96],"label-free":[97],"training":[98],"one-stage":[100,106],"As":[102],"benefit":[104],"rectification,":[107],"method":[110],"extremely":[112],"fast":[113],"with":[114],"completion":[116],"real":[120],"time.":[121],"This":[122],"approximately":[124],"22":[125],"times":[126],"faster":[127],"state-of-the-art":[130],"methods.":[131],"experimental":[133],"results":[134],"show":[135],"that":[136],"achieves":[139],"an":[140],"excellent":[141],"performance":[142],"both":[144],"quantitative":[145],"measure":[146],"(PSNR":[147],"SSIM)":[149],"visual":[151],"qualitative":[152],"appearance.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}
