{"id":"https://openalex.org/W2516467322","doi":"https://doi.org/10.1109/icip.2016.7532878","title":"The quick and high quality image interpolation for single image using multi-filtering and weighted mean","display_name":"The quick and high quality image interpolation for single image using multi-filtering and weighted mean","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2516467322","doi":"https://doi.org/10.1109/icip.2016.7532878","mag":"2516467322"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5101617954","display_name":"Takuro Yamaguchi","orcid":"https://orcid.org/0000-0002-8745-6566"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuro Yamaguchi","raw_affiliation_strings":["EEE Dept., Keio Univ., Yokohama, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EEE Dept., Keio Univ., Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090181402","display_name":"Masaaki Ikehara","orcid":"https://orcid.org/0000-0003-3461-1507"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaaki Ikehara","raw_affiliation_strings":["EEE Dept., Keio Univ., Yokohama, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EEE Dept., Keio Univ., Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":0.1006,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38497174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2841","last_page":"2845"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9965999722480774,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9957000017166138,"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/upsampling","display_name":"Upsampling","score":0.9570790529251099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6760207414627075},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6755926012992859},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6587445139884949},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6260350942611694},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5708056688308716},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5654861927032471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5648859739303589},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5329471826553345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5124824047088623},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5084546804428101},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.41569894552230835},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4087092876434326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37175828218460083}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.9570790529251099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6760207414627075},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6755926012992859},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6587445139884949},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6260350942611694},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5708056688308716},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5654861927032471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5648859739303589},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5329471826553345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5124824047088623},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5084546804428101},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.41569894552230835},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4087092876434326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37175828218460083}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W33296041","https://openalex.org/W1974897896","https://openalex.org/W1995258445","https://openalex.org/W2016980974","https://openalex.org/W2024647105","https://openalex.org/W2045239246","https://openalex.org/W2080875060","https://openalex.org/W2121058967","https://openalex.org/W2124378283","https://openalex.org/W2125325064","https://openalex.org/W2131024476","https://openalex.org/W2138714160","https://openalex.org/W2157494358","https://openalex.org/W2172128189","https://openalex.org/W6601367452"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2281134365","https://openalex.org/W4310746709","https://openalex.org/W3004135429","https://openalex.org/W3121005460","https://openalex.org/W2005223122"],"abstract_inverted_index":{"Image":[0,46],"upsampling":[1,54,62],"from":[2],"one":[3,50],"input":[4],"image":[5,41,53,61],"gathers":[6],"considerable":[7],"attention":[8],"in":[9,76,118],"the":[10,20,52,83],"field":[11],"of":[12,22,31,38,51,85,112,114],"computer":[13],"vision.":[14],"The":[15],"problem":[16],"is":[17,27],"ill-posed":[18],"because":[19],"number":[21],"known":[23],"low-resolution":[24],"(LR)":[25],"pixels":[26],"less":[28],"than":[29,59],"that":[30],"unknown":[32],"high-resolution":[33],"(HR)":[34],"pixels.":[35],"Therefore,":[36],"quality":[37,142],"an":[39,100],"upsampled":[40],"depends":[42],"on":[43],"prior":[44],"assumptions.":[45],"interpolation":[47],"methods":[48,69],"are":[49,57],"technologies":[55,63],"and":[56,74,78,103,143],"faster":[58],"other":[60],"such":[64],"as":[65],"Super-Resolution.":[66],"However,":[67],"these":[68,91,135],"tend":[70],"to":[71,89,98,120,130],"cause":[72],"jaggies":[73],"blurs":[75],"edge":[77,132],"texture":[79],"regions.":[80],"We":[81],"use":[82],"idea":[84],"Multi-surface":[86],"Fitting":[87],"(MF)":[88],"solve":[90],"problems.":[92],"MF":[93],"uses":[94],"plural":[95],"local":[96,116],"functions":[97],"estimate":[99,131],"HR":[101],"pixel":[102],"it":[104],"reduces":[105],"blurs.":[106],"Moreover,":[107],"we":[108,126],"utilize":[109],"filtering":[110],"instead":[111],"calculation":[113],"each":[115],"function":[117],"order":[119],"reduce":[121],"a":[122,144],"computational":[123,146],"cost.":[124,147],"And":[125],"introduce":[127],"new":[128],"weights":[129],"directions.":[133],"By":[134],"ideas,":[136],"our":[137],"method":[138],"has":[139],"both":[140],"high":[141],"low":[145]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}