{"id":"https://openalex.org/W2051078824","doi":"https://doi.org/10.1109/vcip.2014.7051579","title":"An efficient framework for image interpolation using weighted surface approximation","display_name":"An efficient framework for image interpolation using weighted surface approximation","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2051078824","doi":"https://doi.org/10.1109/vcip.2014.7051579","mag":"2051078824"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2014.7051579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2014.7051579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Visual Communications and Image Processing Conference","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/A5113524899","display_name":"Jingyang Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingyang Wen","raw_affiliation_strings":["Institute for Signals and Information Processing, Lanzhou University, Lanzhou, China","Institute for Signals and Information Processing, Lanzhou University 222 South Tianshui Rd., Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute for Signals and Information Processing, Lanzhou University, Lanzhou, China","institution_ids":["https://openalex.org/I76214153"]},{"raw_affiliation_string":"Institute for Signals and Information Processing, Lanzhou University 222 South Tianshui Rd., Lanzhou, China","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101985051","display_name":"Yi Wan","orcid":"https://orcid.org/0000-0002-6708-825X"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wan","raw_affiliation_strings":["Institute for Signals and Information Processing, Lanzhou University, Lanzhou, China","Institute for Signals and Information Processing, Lanzhou University 222 South Tianshui Rd., Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute for Signals and Information Processing, Lanzhou University, Lanzhou, China","institution_ids":["https://openalex.org/I76214153"]},{"raw_affiliation_string":"Institute for Signals and Information Processing, Lanzhou University 222 South Tianshui Rd., Lanzhou, China","institution_ids":["https://openalex.org/I76214153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113524899"],"corresponding_institution_ids":["https://openalex.org/I76214153"],"apc_list":null,"apc_paid":null,"fwci":0.4878,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69398792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"26","issue":null,"first_page":"354","last_page":"357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9937999844551086,"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":0.9866999983787537,"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/interpolation","display_name":"Interpolation (computer graphics)","score":0.8235265016555786},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6249761581420898},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5811148285865784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4845935106277466},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4795079529285431},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4733704924583435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4676593840122223},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45579633116722107},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4453156292438507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43864476680755615},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4183153510093689},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.41264480352401733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.350193053483963},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3436970114707947},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2845625877380371},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14479869604110718},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10179758071899414}],"concepts":[{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.8235265016555786},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6249761581420898},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5811148285865784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4845935106277466},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4795079529285431},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4733704924583435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4676593840122223},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45579633116722107},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4453156292438507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43864476680755615},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4183153510093689},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.41264480352401733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.350193053483963},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3436970114707947},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2845625877380371},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14479869604110718},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10179758071899414}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/vcip.2014.7051579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2014.7051579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Visual Communications and Image Processing Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/183790","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/183790","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":"","raw_type":"\u4f1a\u8bae\u8bba\u6587"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/352949","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/352949","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":"","raw_type":"Conferences"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/303896","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/303896","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":"","raw_type":"Conferences"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/308720","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/308720","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":"","raw_type":"Conferences"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2038323587","https://openalex.org/W2044011870","https://openalex.org/W2100115174","https://openalex.org/W2103106600","https://openalex.org/W2117865218","https://openalex.org/W2121058967","https://openalex.org/W2124378283","https://openalex.org/W2133665775","https://openalex.org/W2138068359","https://openalex.org/W2157494358","https://openalex.org/W3104720471","https://openalex.org/W4212783130","https://openalex.org/W6675014839"],"related_works":["https://openalex.org/W2394941659","https://openalex.org/W1498671902","https://openalex.org/W33056850","https://openalex.org/W2465174208","https://openalex.org/W2030667839","https://openalex.org/W2388226938","https://openalex.org/W2081870131","https://openalex.org/W2168060518","https://openalex.org/W2384260886","https://openalex.org/W2615143519"],"abstract_inverted_index":{"Although":[0],"it":[1],"has":[2,27],"been":[3,28],"recognized":[4],"that":[5,60,141],"different":[6],"textual":[7],"contents":[8,25],"in":[9,37,151],"an":[10,45,104],"image":[11,19,47],"need":[12],"to":[13,22,33,72,81,133],"be":[14,70],"treated":[15],"differently":[16],"during":[17],"accurate":[18],"interpolation,":[20],"how":[21],"classify":[23],"these":[24],"well":[26],"a":[29,51,73,78,82,87,93],"difficult":[30],"problem":[31],"due":[32],"the":[34,61,67,99,107,111,121,124,129,135,142],"inherent":[35],"complexity":[36],"natural":[38],"images.":[39],"In":[40,97],"this":[41],"paper":[42],"we":[43],"propose":[44],"efficient":[46],"interpolation":[48,154],"framework":[49,144],"with":[50,120],"novel":[52],"weighted":[53,62],"surface":[54,102],"approximation":[55,68],"approach.":[56],"The":[57],"key":[58],"is":[59,117],"mean":[63],"squared":[64],"error":[65],"of":[66,77,106,153],"can":[69],"converted":[71],"continuously":[74],"distributed":[75],"probability":[76,132],"pixel":[79,95,108],"belonging":[80],"local":[83,101],"smooth":[84,112],"region":[85,113,126],"or":[86],"textural":[88],"one,":[89],"thus":[90],"essentially":[91],"making":[92],"soft":[94],"classification.":[96],"addition,":[98],"fitted":[100],"provides":[103],"estimate":[105,116,122],"value":[109],"under":[110],"assumption.":[114],"This":[115],"then":[118],"fused":[119],"from":[123],"texture":[125],"assumption":[127],"using":[128],"previously":[130],"obtained":[131],"yield":[134],"final":[136],"estimate.":[137],"Experimental":[138],"results":[139],"show":[140],"proposed":[143],"consistently":[145],"improves":[146],"over":[147],"typical":[148],"state-of-the-art":[149],"methods":[150],"terms":[152],"accuracy":[155],"while":[156],"maintaining":[157],"comparable":[158],"computational":[159],"complexity.":[160]},"counts_by_year":[{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
