{"id":"https://openalex.org/W2732597826","doi":"https://doi.org/10.1109/tip.2018.2794181","title":"Spatial and Angular Resolution Enhancement of Light Fields Using Convolutional Neural Networks","display_name":"Spatial and Angular Resolution Enhancement of Light Fields Using Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-01-15","ids":{"openalex":"https://openalex.org/W2732597826","doi":"https://doi.org/10.1109/tip.2018.2794181","mag":"2732597826","pmid":"https://pubmed.ncbi.nlm.nih.gov/29432097"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2794181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2794181","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1707.00815","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"M. Shahzeb Khan Gul","orcid":null},"institutions":[{"id":"https://openalex.org/I3125470973","display_name":"Istanbul Medipol University","ror":"https://ror.org/037jwzz50","country_code":"TR","type":"education","lineage":["https://openalex.org/I3125470973"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"M. Shahzeb Khan Gul","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Istanbul Medipol University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Istanbul Medipol University, Istanbul, Turkey","institution_ids":["https://openalex.org/I3125470973"]}]},{"author_position":"last","author":{"id":null,"display_name":"Bahadir K. Gunturk","orcid":"https://orcid.org/0000-0003-0779-9620"},"institutions":[{"id":"https://openalex.org/I3125470973","display_name":"Istanbul Medipol University","ror":"https://ror.org/037jwzz50","country_code":"TR","type":"education","lineage":["https://openalex.org/I3125470973"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Bahadir K. Gunturk","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Istanbul Medipol University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Istanbul Medipol University, Istanbul, Turkey","institution_ids":["https://openalex.org/I3125470973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3125470973"],"apc_list":null,"apc_paid":null,"fwci":5.3119,"has_fulltext":false,"cited_by_count":85,"citation_normalized_percentile":{"value":0.96800457,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"27","issue":"5","first_page":"2146","last_page":"2159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.8041999936103821,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.8041999936103821,"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":0.054999999701976776,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.029899999499320984,"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/light-field","display_name":"Light field","score":0.7922999858856201},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.7111999988555908},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.701200008392334},{"id":"https://openalex.org/keywords/angular-resolution","display_name":"Angular resolution (graph drawing)","score":0.7005000114440918},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5040000081062317},{"id":"https://openalex.org/keywords/computational-photography","display_name":"Computational photography","score":0.43700000643730164},{"id":"https://openalex.org/keywords/aperture","display_name":"Aperture (computer memory)","score":0.43059998750686646},{"id":"https://openalex.org/keywords/field-of-view","display_name":"Field of view","score":0.3675000071525574}],"concepts":[{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.7922999858856201},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.7111999988555908},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.701200008392334},{"id":"https://openalex.org/C133848361","wikidata":"https://www.wikidata.org/wiki/Q4764027","display_name":"Angular resolution (graph drawing)","level":2,"score":0.7005000114440918},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6097000241279602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5942000150680542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5443999767303467},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5040000081062317},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.49000000953674316},{"id":"https://openalex.org/C146044194","wikidata":"https://www.wikidata.org/wiki/Q5157334","display_name":"Computational photography","level":4,"score":0.43700000643730164},{"id":"https://openalex.org/C78336883","wikidata":"https://www.wikidata.org/wiki/Q4779385","display_name":"Aperture (computer memory)","level":2,"score":0.43059998750686646},{"id":"https://openalex.org/C150627866","wikidata":"https://www.wikidata.org/wiki/Q1076893","display_name":"Field of view","level":2,"score":0.3675000071525574},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.35600000619888306},{"id":"https://openalex.org/C100921725","wikidata":"https://www.wikidata.org/wiki/Q1650811","display_name":"Spatial frequency","level":2,"score":0.34599998593330383},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.33219999074935913},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.2957000136375427},{"id":"https://openalex.org/C183072630","wikidata":"https://www.wikidata.org/wiki/Q215932","display_name":"Depth of field","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C128975484","wikidata":"https://www.wikidata.org/wiki/Q3492872","display_name":"Angular spectrum method","level":3,"score":0.2838999927043915},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C2777903624","wikidata":"https://www.wikidata.org/wiki/Q1477653","display_name":"Spatial light modulator","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C193581530","wikidata":"https://www.wikidata.org/wiki/Q683778","display_name":"Structured light","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2524000108242035},{"id":"https://openalex.org/C108439606","wikidata":"https://www.wikidata.org/wiki/Q3305038","display_name":"Angular displacement","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2018.2794181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2794181","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:29432097","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29432097","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:1707.00815","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.00815","pdf_url":"https://arxiv.org/pdf/1707.00815","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:1707.00815","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.00815","pdf_url":"https://arxiv.org/pdf/1707.00815","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":[],"awards":[{"id":"https://openalex.org/G7364301938","display_name":null,"funder_award_id":"114E095","funder_id":"https://openalex.org/F4320322626","funder_display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu"}],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1457323852","https://openalex.org/W1537348865","https://openalex.org/W1914596733","https://openalex.org/W1916935112","https://openalex.org/W1976598894","https://openalex.org/W2042687553","https://openalex.org/W2043408784","https://openalex.org/W2051929895","https://openalex.org/W2060167709","https://openalex.org/W2063366997","https://openalex.org/W2082419056","https://openalex.org/W2098232352","https://openalex.org/W2112796928","https://openalex.org/W2116361875","https://openalex.org/W2117731089","https://openalex.org/W2128359381","https://openalex.org/W2129283062","https://openalex.org/W2131925136","https://openalex.org/W2133515844","https://openalex.org/W2133665775","https://openalex.org/W2142683286","https://openalex.org/W2143050242","https://openalex.org/W2146695255","https://openalex.org/W2149694199","https://openalex.org/W2150007820","https://openalex.org/W2154815154","https://openalex.org/W2155893237","https://openalex.org/W2162162078","https://openalex.org/W2200825767","https://openalex.org/W2214802144","https://openalex.org/W2239879258","https://openalex.org/W2242218935","https://openalex.org/W2294985758","https://openalex.org/W2307624518","https://openalex.org/W2345261988","https://openalex.org/W2422216813","https://openalex.org/W2551052086","https://openalex.org/W2588196171","https://openalex.org/W2608854843","https://openalex.org/W2747898905","https://openalex.org/W2963420272","https://openalex.org/W4230548574","https://openalex.org/W4246212770","https://openalex.org/W6631943919","https://openalex.org/W6634891648","https://openalex.org/W6639138679","https://openalex.org/W6674855086","https://openalex.org/W6675783809","https://openalex.org/W6678856934","https://openalex.org/W6701655646","https://openalex.org/W6702130928"],"related_works":[],"abstract_inverted_index":{"Light":[0],"field":[1,38,55,90,101,116,123],"imaging":[2],"extends":[3],"the":[4,65],"traditional":[5],"photography":[6],"by":[7],"capturing":[8],"both":[9,76],"spatial":[10,59,77,94,127],"and":[11,26,78,95,128],"angular":[12,79,96,129],"distribution":[13],"of":[14,51,98],"light,":[15],"which":[16,61],"enables":[17],"new":[18],"capabilities,":[19],"including":[20],"post-capture":[21,23],"refocusing,":[22],"aperture":[24],"control,":[25],"depth":[27],"estimation":[28],"from":[29],"a":[30,41,68,86,120],"single":[31,69],"shot.":[32],"Micro-lens":[33],"array":[34],"(MLA)":[35],"based":[36,53,88],"light":[37,46,54,89,100,115,122],"cameras":[39,56],"offer":[40],"cost-effective":[42],"approach":[43],"to":[44,64,74],"capture":[45,75],"field.":[47],"A":[48],"major":[49],"drawback":[50],"MLA":[52],"is":[57,62,72,102,111],"low":[58],"resolution,":[60],"due":[63],"fact":[66],"that":[67],"image":[70],"sensor":[71],"shared":[73],"information.":[80],"In":[81],"this":[82],"paper,":[83],"we":[84],"present":[85],"learning":[87],"enhancement":[91],"approach.":[92],"Both":[93],"resolution":[97,130],"captured":[99,118],"enhanced":[103],"using":[104],"convolutional":[105],"neural":[106],"networks.":[107],"The":[108],"proposed":[109],"method":[110],"tested":[112],"with":[113,119],"real":[114],"data":[117],"Lytro":[121],"camera,":[124],"clearly":[125],"demonstrating":[126],"improvement.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":9}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2017-07-14T00:00:00"}
