{"id":"https://openalex.org/W2990050757","doi":"https://doi.org/10.1109/ipta.2019.8936090","title":"Multi-focus Image Fusion based on Edge-preserving Filters","display_name":"Multi-focus Image Fusion based on Edge-preserving Filters","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2990050757","doi":"https://doi.org/10.1109/ipta.2019.8936090","mag":"2990050757"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2019.8936090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2019.8936090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA)","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/A5083960583","display_name":"Yifan Xiao","orcid":"https://orcid.org/0000-0001-9040-6394"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Yifan Xiao","raw_affiliation_strings":["IPI - imec, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"IPI - imec, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000959943","display_name":"Ivana Shopovska","orcid":"https://orcid.org/0000-0002-8487-9598"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Ivana Shopovska","raw_affiliation_strings":["IPI - imec, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"IPI - imec, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068050252","display_name":"Peter Veelaert","orcid":"https://orcid.org/0000-0003-4746-9087"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Peter Veelaert","raw_affiliation_strings":["IPI - imec, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"IPI - imec, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071483672","display_name":"Wilfried Philips","orcid":"https://orcid.org/0000-0003-4456-4353"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Wilfried Philips","raw_affiliation_strings":["IPI - imec, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"IPI - imec, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083960583"],"corresponding_institution_ids":["https://openalex.org/I32597200"],"apc_list":null,"apc_paid":null,"fwci":0.1809,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58175814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9919999837875366,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6477090120315552},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6281977891921997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6242792010307312},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5986048579216003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5553780198097229},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.554182767868042},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46562784910202026}],"concepts":[{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6477090120315552},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6281977891921997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6242792010307312},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5986048579216003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5553780198097229},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.554182767868042},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46562784910202026},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ipta.2019.8936090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2019.8936090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:8636606","is_oa":false,"landing_page_url":"https://biblio.ugent.be/publication/8636606","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781728139753","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2300736770","display_name":null,"funder_award_id":"(CSC)","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W59030693","https://openalex.org/W1563899710","https://openalex.org/W1628236353","https://openalex.org/W1979211583","https://openalex.org/W1980382026","https://openalex.org/W1994616697","https://openalex.org/W1994714721","https://openalex.org/W1997296225","https://openalex.org/W1999034606","https://openalex.org/W2002285735","https://openalex.org/W2010307644","https://openalex.org/W2014711337","https://openalex.org/W2015207482","https://openalex.org/W2026003054","https://openalex.org/W2034995331","https://openalex.org/W2042276800","https://openalex.org/W2059111949","https://openalex.org/W2064562647","https://openalex.org/W2091484864","https://openalex.org/W2114207195","https://openalex.org/W2116702374","https://openalex.org/W2125188192","https://openalex.org/W2129211628","https://openalex.org/W2142060261","https://openalex.org/W2168783614","https://openalex.org/W2464701508","https://openalex.org/W2473964400","https://openalex.org/W2474462684","https://openalex.org/W2559870345","https://openalex.org/W2624240493","https://openalex.org/W2744019306","https://openalex.org/W2767512561","https://openalex.org/W2777967210","https://openalex.org/W2901572775","https://openalex.org/W6719387299","https://openalex.org/W6721223673"],"related_works":["https://openalex.org/W2012531322","https://openalex.org/W2785900585","https://openalex.org/W2919827088","https://openalex.org/W2725429296","https://openalex.org/W2373946551","https://openalex.org/W2032636564","https://openalex.org/W2350275110","https://openalex.org/W2258043314","https://openalex.org/W2381578981","https://openalex.org/W3035059915"],"abstract_inverted_index":{"To":[0],"break":[1],"the":[2,29,39,46,54,60,81,88,96,111,124,130],"limitation":[3],"of":[4],"camera":[5],"imaging":[6],"and":[7,38,59,72,94],"acquire":[8],"abundant":[9],"information":[10],"with":[11,87],"multi-focus":[12,18],"images,":[13],"we":[14,51],"present":[15],"a":[16,103],"novel":[17],"image":[19,56,69,73,99],"fusion":[20,83,105,127],"method":[21,113,132],"based":[22,44],"on":[23,45],"edge-preserving":[24],"filters.":[25],"In":[26],"this":[27],"paper,":[28],"focusing":[30],"level":[31],"is":[32,42,100,114,133],"measured":[33],"by":[34,92],"two":[35],"cost":[36],"functions":[37],"focus":[40],"map":[41],"constructed":[43],"winner-":[47],"take-all":[48],"manner.":[49],"Besides,":[50],"demonstrate":[52],"that":[53,110],"guided":[55],"filter":[57],"(GIF)":[58],"fast":[61],"global":[62],"smoother":[63],"(FGS)":[64],"have":[65],"different":[66],"advantages":[67],"in":[68],"structure":[70],"transferring":[71],"smoothing,":[74],"which":[75,122],"can":[76],"be":[77],"utilized":[78],"to":[79],"construct":[80],"precise":[82],"weight":[84,89],"maps.":[85],"Combing":[86],"maps":[90],"acquired":[91],"GIF":[93],"FGS,":[95],"accurate":[97],"all-in-focus":[98],"obtained":[101],"using":[102],"secondary":[104],"strategy.":[106],"Experimental":[107],"results":[108],"show":[109],"proposed":[112,131],"competitive":[115],"or":[116],"even":[117],"outperforms":[118],"many":[119],"state-of-the-art":[120],"methods,":[121],"includes":[123],"recent":[125],"CNN-based":[126],"method,":[128],"while":[129],"less":[134],"time-consuming.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}