{"id":"https://openalex.org/W2290494726","doi":"https://doi.org/10.1109/globalsip.2015.7418241","title":"Tree-structured algorithm for efficient shearlet-domain light field reconstruction","display_name":"Tree-structured algorithm for efficient shearlet-domain light field reconstruction","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2290494726","doi":"https://doi.org/10.1109/globalsip.2015.7418241","mag":"2290494726"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2015.7418241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2015.7418241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-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/A5025353841","display_name":"Suren Vagharshakyan","orcid":"https://orcid.org/0000-0003-1687-2391"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]},{"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":true,"raw_author_name":"Suren Vagharshakyan","raw_affiliation_strings":["Department of Signal Processing, Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]},{"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/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]},{"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":["Department of Signal Processing, Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]},{"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"]},{"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":"Atanas Gotchev","raw_affiliation_strings":["Department of Signal Processing, Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025353841"],"corresponding_institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"],"apc_list":null,"apc_paid":null,"fwci":0.1866,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61217811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"32","issue":null,"first_page":"478","last_page":"482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9966999888420105,"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":0.9930999875068665,"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/epipolar-geometry","display_name":"Epipolar geometry","score":0.8121953010559082},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.698158860206604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6276307702064514},{"id":"https://openalex.org/keywords/shearlet","display_name":"Shearlet","score":0.6115754246711731},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5725783109664917},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5450804233551025},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5327271223068237},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5309169888496399},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5210618376731873},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.5149110555648804},{"id":"https://openalex.org/keywords/structuring","display_name":"Structuring","score":0.5021235942840576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37757405638694763},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28551650047302246},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17036467790603638}],"concepts":[{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.8121953010559082},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.698158860206604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6276307702064514},{"id":"https://openalex.org/C67795661","wikidata":"https://www.wikidata.org/wiki/Q17018993","display_name":"Shearlet","level":3,"score":0.6115754246711731},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5725783109664917},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5450804233551025},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5327271223068237},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5309169888496399},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5210618376731873},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.5149110555648804},{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.5021235942840576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37757405638694763},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28551650047302246},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17036467790603638},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/globalsip.2015.7418241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2015.7418241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:trepo.tuni.fi:10024/212815","is_oa":false,"landing_page_url":"https://trepo.tuni.fi/handle/10024/212815","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":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1507554030","https://openalex.org/W1966626309","https://openalex.org/W1968872078","https://openalex.org/W1999905919","https://openalex.org/W2007165614","https://openalex.org/W2011147082","https://openalex.org/W2016416397","https://openalex.org/W2038597216","https://openalex.org/W2042687553","https://openalex.org/W2063366997","https://openalex.org/W2064586097","https://openalex.org/W2072476274","https://openalex.org/W2079822607","https://openalex.org/W2103690638","https://openalex.org/W2150593711","https://openalex.org/W2155479981","https://openalex.org/W2155552564","https://openalex.org/W2162162078","https://openalex.org/W2294436396","https://openalex.org/W2294985758","https://openalex.org/W2295511631","https://openalex.org/W3103613945","https://openalex.org/W4234142664","https://openalex.org/W6641723723","https://openalex.org/W6684133363","https://openalex.org/W6948096405"],"related_works":["https://openalex.org/W2475220750","https://openalex.org/W2016759271","https://openalex.org/W2072476274","https://openalex.org/W2057035680","https://openalex.org/W1536800557","https://openalex.org/W2544538710","https://openalex.org/W2069666952","https://openalex.org/W2132999739","https://openalex.org/W2094002035","https://openalex.org/W2165432774"],"abstract_inverted_index":{"This":[0],"article":[1],"considers":[2],"techniques":[3],"for":[4,42,60],"accelerating":[5],"a":[6,29,77],"light":[7],"field":[8],"reconstruction":[9,21,45,56,68],"algorithm":[10],"operating":[11],"in":[12,54],"shearlet":[13],"domain.":[14],"In":[15],"the":[16,37,55,71,84],"proposed":[17,72],"approach,":[18],"an":[19,43],"independent":[20],"of":[22,39,70,91],"epipolar":[23],"images":[24],"(EPIs)":[25],"is":[26,74],"replaced":[27],"with":[28],"consecutive":[30],"tree-structured":[31],"reconstruction.":[32],"It":[33],"aims":[34],"at":[35],"decreasing":[36],"number":[38],"iterations":[40],"necessary":[41],"EPI":[44],"by":[46],"using":[47],"already":[48],"processed":[49],"EPIs":[50],"as":[51],"initial":[52],"values":[53],"stage.":[57],"Two":[58],"algorithms":[59,73,85],"structuring":[61],"such":[62],"processing":[63],"trees":[64],"are":[65,86,94],"presented.":[66,95],"The":[67,80],"performance":[69],"illustrated":[75],"on":[76],"real":[78],"dataset.":[79],"underlying":[81],"differences":[82],"between":[83],"discussed":[87],"and":[88],"numerical":[89],"results":[90],"computation":[92],"speeds":[93]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
