{"id":"https://openalex.org/W2724180428","doi":"https://doi.org/10.1186/s13634-017-0487-7","title":"Robust depth enhancement and optimization based on advanced multilateral filters","display_name":"Robust depth enhancement and optimization based on advanced multilateral filters","publication_year":2017,"publication_date":"2017-07-10","ids":{"openalex":"https://openalex.org/W2724180428","doi":"https://doi.org/10.1186/s13634-017-0487-7","mag":"2724180428"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-017-0487-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-017-0487-7","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-017-0487-7","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-017-0487-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051655392","display_name":"Ting-An Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ting-An Chang","raw_affiliation_strings":["Department of Electrical Engineering, Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072828215","display_name":"Yang\u2010Ting Chou","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yang-Ting Chou","raw_affiliation_strings":["Department of Electrical Engineering, Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068393966","display_name":"Jar-Ferr Yang","orcid":"https://orcid.org/0000-0001-6502-9961"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jar-Ferr Yang","raw_affiliation_strings":["Department of Electrical Engineering, Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-6502-9961","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051655392"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.0924,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45260479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2017","issue":"1","first_page":null,"last_page":null},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9998000264167786,"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":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7414489984512329},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7281613945960999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7008658051490784},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.6611353158950806},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6439142227172852},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5617398619651794},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.5370838046073914},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5310908555984497},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.4887409210205078},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46800342202186584},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.43282878398895264},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42039230465888977},{"id":"https://openalex.org/keywords/measured-depth","display_name":"Measured depth","score":0.41215717792510986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22426211833953857},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.2177545726299286},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11203888058662415}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7414489984512329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7281613945960999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7008658051490784},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.6611353158950806},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6439142227172852},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5617398619651794},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.5370838046073914},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5310908555984497},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.4887409210205078},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46800342202186584},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.43282878398895264},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42039230465888977},{"id":"https://openalex.org/C113346285","wikidata":"https://www.wikidata.org/wiki/Q6804193","display_name":"Measured depth","level":2,"score":0.41215717792510986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22426211833953857},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2177545726299286},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11203888058662415},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-017-0487-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-017-0487-7","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-017-0487-7","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3594e72defd24d74971ec8550bdf01cc","is_oa":true,"landing_page_url":"https://doaj.org/article/3594e72defd24d74971ec8550bdf01cc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2017, Iss 1, Pp 1-12 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-017-0487-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-017-0487-7","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-017-0487-7","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6887642559","display_name":null,"funder_award_id":"NSC 105-2221-E-006 -065 -MY3","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"}],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2724180428.pdf","grobid_xml":"https://content.openalex.org/works/W2724180428.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1967795753","https://openalex.org/W1975252851","https://openalex.org/W1976876708","https://openalex.org/W1983219066","https://openalex.org/W1987724871","https://openalex.org/W1989143963","https://openalex.org/W1994184495","https://openalex.org/W1997701791","https://openalex.org/W1998483243","https://openalex.org/W2002431139","https://openalex.org/W2027648390","https://openalex.org/W2038338776","https://openalex.org/W2052719556","https://openalex.org/W2059339694","https://openalex.org/W2074496201","https://openalex.org/W2077455628","https://openalex.org/W2080826221","https://openalex.org/W2086470799","https://openalex.org/W2099712288","https://openalex.org/W2104600947","https://openalex.org/W2104974755","https://openalex.org/W2105466713","https://openalex.org/W2106403211","https://openalex.org/W2118273112","https://openalex.org/W2118963448","https://openalex.org/W2125188192","https://openalex.org/W2131045343","https://openalex.org/W2133255058","https://openalex.org/W2138981801","https://openalex.org/W2142990573","https://openalex.org/W2150134853","https://openalex.org/W2155479981","https://openalex.org/W2158214532","https://openalex.org/W2164641520","https://openalex.org/W2169733476","https://openalex.org/W2186719891","https://openalex.org/W2195231623","https://openalex.org/W2231495490","https://openalex.org/W2321105676","https://openalex.org/W2540413935","https://openalex.org/W2587470428","https://openalex.org/W4241716071"],"related_works":["https://openalex.org/W2915493008","https://openalex.org/W2003805688","https://openalex.org/W1986056272","https://openalex.org/W2089613850","https://openalex.org/W3009665706","https://openalex.org/W2605482345","https://openalex.org/W4307472573","https://openalex.org/W2771419958","https://openalex.org/W2044147530","https://openalex.org/W2283423150"],"abstract_inverted_index":{"Stereo":[0],"matching":[1],"of":[2,26,54],"two":[3,12],"distanced":[4],"cameras":[5,9],"and":[6,34,43,70,77,95,115],"structured-light":[7],"RGB-D":[8],"are":[10],"the":[11,17,22,27,30,52,68,107,117,125,134],"common":[13],"ways":[14],"to":[15,65,72,98],"capture":[16],"depth":[18,24,42,71,113,118],"map,":[19],"which":[20,90],"conveys":[21],"per-pixel":[23],"information":[25,97],"image.":[28],"However,":[29],"results":[31,122],"with":[32],"mismatched":[33,47],"occluded":[35],"pixels":[36],"would":[37,50],"not":[38],"provide":[39],"accurately":[40],"well-matched":[41],"image":[44,69],"information.":[45],"The":[46,102],"depth-image":[48],"relations":[49],"degrade":[51],"performances":[53],"view":[55],"syntheses":[56],"seriously":[57],"in":[58],"modern-day":[59],"three-dimension":[60],"video":[61],"applications.":[62],"Therefore,":[63],"how":[64],"effectively":[66],"utilize":[67],"enhance":[73],"themselves":[74],"becomes":[75],"more":[76,78],"important.":[79],"In":[80],"this":[81],"paper,":[82],"we":[83],"propose":[84],"an":[85],"advanced":[86],"multilateral":[87],"filter":[88],"(AMF),":[89],"refers":[91],"spatial,":[92],"range,":[93],"depth,":[94,111],"credibility":[96],"achieve":[99],"their":[100],"enhancements.":[101],"AMF":[103],"enhancements":[104],"could":[105],"sharpen":[106,116],"image,":[108],"suppress":[109],"noisy":[110],"filling":[112],"holes,":[114],"edges":[119],"simultaneously.":[120],"Experimental":[121],"demonstrate":[123],"that":[124],"proposed":[126],"method":[127],"provides":[128],"a":[129],"superior":[130],"performance,":[131],"especially":[132],"around":[133],"object":[135],"boundary.":[136]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}