{"id":"https://openalex.org/W3103138606","doi":"https://doi.org/10.1109/lsp.2019.2947379","title":"Deep Recurrent Network for Fast and Full-Resolution Light Field Deblurring","display_name":"Deep Recurrent Network for Fast and Full-Resolution Light Field Deblurring","publication_year":2019,"publication_date":"2019-10-14","ids":{"openalex":"https://openalex.org/W3103138606","doi":"https://doi.org/10.1109/lsp.2019.2947379","mag":"3103138606"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2019.2947379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2947379","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1904.00352","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048066371","display_name":"Jonathan Samuel Lumentut","orcid":"https://orcid.org/0000-0001-5146-8648"},"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":"Jonathan Samuel Lumentut","raw_affiliation_strings":["Department of Information and Communication Engineering, Inha University, Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438996","display_name":"Tae Hyun Kim","orcid":"https://orcid.org/0000-0002-7995-3984"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tae Hyun Kim","raw_affiliation_strings":["Department of Computer Science, Hanyang University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hanyang University, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034754633","display_name":"Ravi Ramamoorthi","orcid":"https://orcid.org/0000-0003-3993-5789"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravi Ramamoorthi","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, San Diego, La Jolla, USA"],"raw_orcid":"https://orcid.org/0000-0003-3993-5789","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, San Diego, La Jolla, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091701800","display_name":"In Kyu Park","orcid":"https://orcid.org/0000-0003-4774-7841"},"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":"In Kyu Park","raw_affiliation_strings":["Department of Information and Communication Engineering, Inha University, Incheon, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-4774-7841","affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5955,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.73409305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"26","issue":"12","first_page":"1788","last_page":"1792"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9983000159263611,"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/T11897","display_name":"Digital Holography and Microscopy","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.9618043899536133},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.772225022315979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7652642726898193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7178184986114502},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6896122694015503},{"id":"https://openalex.org/keywords/parallax","display_name":"Parallax","score":0.5895511507987976},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5703960657119751},{"id":"https://openalex.org/keywords/computational-photography","display_name":"Computational photography","score":0.530673086643219},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5040580034255981},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4660305678844452},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.44894054532051086},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.36522430181503296},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2915283441543579},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25480133295059204},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16025897860527039}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9618043899536133},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.772225022315979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7652642726898193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7178184986114502},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6896122694015503},{"id":"https://openalex.org/C15759828","wikidata":"https://www.wikidata.org/wiki/Q165074","display_name":"Parallax","level":2,"score":0.5895511507987976},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5703960657119751},{"id":"https://openalex.org/C146044194","wikidata":"https://www.wikidata.org/wiki/Q5157334","display_name":"Computational photography","level":4,"score":0.530673086643219},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5040580034255981},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4660305678844452},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.44894054532051086},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.36522430181503296},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2915283441543579},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25480133295059204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16025897860527039},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2019.2947379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2947379","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1904.00352","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.00352","pdf_url":"https://arxiv.org/pdf/1904.00352","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1904.00352","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.00352","pdf_url":"https://arxiv.org/pdf/1904.00352","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1598281290","https://openalex.org/W1987075379","https://openalex.org/W2047123483","https://openalex.org/W2055616670","https://openalex.org/W2162162078","https://openalex.org/W2194775991","https://openalex.org/W2297633669","https://openalex.org/W2465552163","https://openalex.org/W2474628748","https://openalex.org/W2502312327","https://openalex.org/W2551052086","https://openalex.org/W2560533888","https://openalex.org/W2609107023","https://openalex.org/W2753230437","https://openalex.org/W2767011576","https://openalex.org/W2798747038","https://openalex.org/W2962947932","https://openalex.org/W2964178216","https://openalex.org/W6635527474","https://openalex.org/W6724804524","https://openalex.org/W6729515566","https://openalex.org/W6746120046"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W2905397092","https://openalex.org/W3153582293","https://openalex.org/W3207832039","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2139384960"],"abstract_inverted_index":{"The":[0,105],"popularity":[1],"of":[2,88,114,119],"parallax-based":[3],"image":[4],"processing":[5],"is":[6,65],"increasing":[7],"while":[8],"in":[9,112],"contrast":[10],"early":[11],"works":[12],"on":[13],"recovering":[14],"sharp":[15],"light":[16,27,59,77,85,98],"field":[17,28,60,78,86,99],"from":[18,32,91],"its":[19],"blurry":[20,97],"input":[21],"(deblurring)":[22],"remain":[23],"stagnant.":[24],"State-of-the-art":[25],"blind":[26],"deblurring":[29,62,115],"methods":[30,111],"suffer":[31],"several":[33],"problems":[34,54],"such":[35],"as":[36],"slow":[37],"processing,":[38],"reduced":[39],"spatial":[40],"size,":[41],"and":[42,83,122],"simplified":[43],"motion":[44],"blur":[45],"model.":[46,72],"In":[47],"this":[48],"paper,":[49],"we":[50,93],"solve":[51],"these":[52],"challenging":[53],"by":[55],"proposing":[56],"a":[57,95,123],"novel":[58],"recurrent":[61],"network":[63],"that":[64],"trained":[66],"under":[67],"6":[68],"degree-of-freedom":[69],"camera":[70],"motion-blur":[71],"By":[73],"combining":[74],"the":[75,103,109,117],"real":[76],"captured":[79],"using":[80],"Lytro":[81],"Illum":[82],"synthetic":[84],"rendering":[87],"3D":[89],"scenes":[90],"UnrealCV,":[92],"provide":[94],"large-scale":[96],"dataset":[100],"to":[101],"train":[102],"network.":[104],"proposed":[106],"method":[107],"outperforms":[108],"state-of-the-art":[110],"terms":[113],"quality,":[116],"capability":[118],"handling":[120],"full-resolution,":[121],"fast":[124],"runtime.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-11-23T00:00:00"}
