{"id":"https://openalex.org/W2986301671","doi":"https://doi.org/10.23919/eusipco.2019.8903168","title":"IEST: Interpolation-Enhanced Shearlet Transform for Light Field Reconstruction Using Adaptive Separable Convolution","display_name":"IEST: Interpolation-Enhanced Shearlet Transform for Light Field Reconstruction Using Adaptive Separable Convolution","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2986301671","doi":"https://doi.org/10.23919/eusipco.2019.8903168","mag":"2986301671"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2019.8903168","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8903168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","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/A5100676162","display_name":"Yuan Gao","orcid":"https://orcid.org/0000-0003-1406-1843"},"institutions":[{"id":"https://openalex.org/I32021983","display_name":"Christian-Albrechts-Universit\u00e4t zu Kiel","ror":"https://ror.org/04v76ef78","country_code":"DE","type":"education","lineage":["https://openalex.org/I32021983"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yuan Gao","raw_affiliation_strings":["Department of Computer Science, Kiel University, Kiel, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kiel University, Kiel, Germany","institution_ids":["https://openalex.org/I32021983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040944275","display_name":"Reinhard Koch","orcid":"https://orcid.org/0000-0003-4398-1569"},"institutions":[{"id":"https://openalex.org/I32021983","display_name":"Christian-Albrechts-Universit\u00e4t zu Kiel","ror":"https://ror.org/04v76ef78","country_code":"DE","type":"education","lineage":["https://openalex.org/I32021983"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Reinhard Koch","raw_affiliation_strings":["Department of Computer Science, Kiel University, Kiel, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kiel University, Kiel, Germany","institution_ids":["https://openalex.org/I32021983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048845611","display_name":"Robert Bregovi\u0107","orcid":"https://orcid.org/0000-0002-3878-7588"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Robert Bregovic","raw_affiliation_strings":["Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077942509","display_name":"Atanas Gotchev","orcid":"https://orcid.org/0000-0003-2320-1000"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Atanas Gotchev","raw_affiliation_strings":["Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991000294685364,"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":0.9977999925613403,"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":0.8060517907142639},{"id":"https://openalex.org/keywords/shearlet","display_name":"Shearlet","score":0.7890061140060425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.688165009021759},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6612998247146606},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6333187818527222},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6260618567466736},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5776209831237793},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5345584154129028},{"id":"https://openalex.org/keywords/parallax","display_name":"Parallax","score":0.4948703646659851},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4571594297885895},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45651695132255554},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4560711979866028},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3205649256706238},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30767279863357544},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16543489694595337},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1320628523826599}],"concepts":[{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.8060517907142639},{"id":"https://openalex.org/C67795661","wikidata":"https://www.wikidata.org/wiki/Q17018993","display_name":"Shearlet","level":3,"score":0.7890061140060425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.688165009021759},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6612998247146606},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6333187818527222},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6260618567466736},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5776209831237793},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5345584154129028},{"id":"https://openalex.org/C15759828","wikidata":"https://www.wikidata.org/wiki/Q165074","display_name":"Parallax","level":2,"score":0.4948703646659851},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4571594297885895},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45651695132255554},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4560711979866028},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3205649256706238},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30767279863357544},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16543489694595337},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1320628523826599},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco.2019.8903168","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8903168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:trepo.tuni.fi:10024/215722","is_oa":false,"landing_page_url":"https://trepo.tuni.fi/handle/10024/215722","pdf_url":null,"source":{"id":"https://openalex.org/S7407055260","display_name":"Trepo - Institutional Repository of Tampere University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"conference"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2036726483","https://openalex.org/W2063366997","https://openalex.org/W2109812093","https://openalex.org/W2116361875","https://openalex.org/W2257183329","https://openalex.org/W2294436396","https://openalex.org/W2551052086","https://openalex.org/W2586480386","https://openalex.org/W2604329646","https://openalex.org/W2736981815","https://openalex.org/W2744570394","https://openalex.org/W2745116448","https://openalex.org/W2787138665","https://openalex.org/W2897594148","https://openalex.org/W2902183147","https://openalex.org/W2963093735","https://openalex.org/W2963268050","https://openalex.org/W2963483509","https://openalex.org/W2963782415","https://openalex.org/W2964251418","https://openalex.org/W2964288609","https://openalex.org/W2965864278","https://openalex.org/W2970842538","https://openalex.org/W3101085605","https://openalex.org/W6735698919","https://openalex.org/W6741373785","https://openalex.org/W6755974222","https://openalex.org/W6756385555","https://openalex.org/W6766502694"],"related_works":["https://openalex.org/W2475220750","https://openalex.org/W2016759271","https://openalex.org/W2072476274","https://openalex.org/W2949924583","https://openalex.org/W2018897187","https://openalex.org/W4299617494","https://openalex.org/W4283766825","https://openalex.org/W4391994763","https://openalex.org/W2986301671","https://openalex.org/W2997521429"],"abstract_inverted_index":{"The":[0],"performance":[1],"of":[2,15,28,61,103,168,195],"a":[3,49,52,77,81,84,91,122,140,149],"light":[4,45,64,78,110,155,184],"field":[5,46,65,79,111,185],"reconstruction":[6,47,66,112,166,186],"algorithm":[7],"is":[8,40,72,132,145,158],"typically":[9],"affected":[10],"by":[11,134,161],"the":[12,16,29,44,62,108,153,165,181],"disparity":[13,54,86,93,120,173,203],"range":[14,55,87,94],"input":[17],"Sparsely-Sampled":[18],"Light":[19],"Field":[20],"(SSLF).":[21],"This":[22],"paper":[23],"finds":[24],"that":[25,178],"(i)":[26],"one":[27,60],"state-of-the-art":[30,63,183],"video":[31],"frame":[32],"interpolation":[33],"methods,":[34,67],"i.e.":[35,68],"adaptive":[36],"Separable":[37],"Convolution":[38],"(SepConv),":[39],"especially":[41,73],"effective":[42,74],"for":[43,152],"on":[48,114,188],"SSLF":[50,82,193],"with":[51,83,116,199],"small":[53,172],"(<;":[56],"10":[57],"pixels);":[58],"(ii)":[59],"Shearlet":[69,129],"Transformation":[70],"(ST),":[71],"in":[75,139],"reconstructing":[76],"from":[80],"moderate":[85,117,200],"(10-20":[88],"pixels)":[89],"or":[90],"large":[92,119,202],"(>":[95],"20":[96],"pixels).":[97],"Therefore,":[98],"to":[99,106,126,147,163],"make":[100],"full":[101],"use":[102],"both":[104],"methods":[105,187],"solve":[107],"challenging":[109,190],"problem":[113],"SSLFs":[115],"and":[118,201],"ranges,":[121],"novel":[123],"method,":[124],"referred":[125],"as":[127],"Interpolation-Enhanced":[128],"Transform":[130],"(IEST),":[131],"proposed":[133],"incorporating":[135],"these":[136],"two":[137],"approaches":[138],"coarse-to-fine":[141],"manner.":[142],"Specifically,":[143],"ST":[144],"employed":[146],"give":[148],"coarse":[150],"estimation":[151],"target":[154],"field,":[156],"which":[157],"then":[159],"refined":[160],"SepConv":[162],"improve":[164],"quality":[167],"parallax":[169],"views":[170],"involving":[171],"ranges.":[174,204],"Experimental":[175],"results":[176],"show":[177],"IEST":[179],"outperforms":[180],"other":[182],"nine":[189],"horizontalparallax":[191],"evaluation":[192],"datasets":[194],"different":[196],"real-world":[197],"scenes":[198]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}