{"id":"https://openalex.org/W2504687977","doi":"https://doi.org/10.1109/tce.2016.7514715","title":"An edge-guided image interpolation method using Taylor series approximation","display_name":"An edge-guided image interpolation method using Taylor series approximation","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2504687977","doi":"https://doi.org/10.1109/tce.2016.7514715","mag":"2504687977"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2016.7514715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2016.7514715","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-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/A5100334443","display_name":"Seung-Jun Lee","orcid":"https://orcid.org/0009-0002-7224-9529"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung-Jun Lee","raw_affiliation_strings":["School of Electrical Engineering Department, Korea University, Sungbuk-gu, Seoul, Rep. of Korea","Korea University,Seoul, 136-713, Rep. of Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering Department, Korea University, Sungbuk-gu, Seoul, Rep. of Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea University,Seoul, 136-713, Rep. of Korea#TAB#","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089888701","display_name":"Mun-Cheon Kang","orcid":"https://orcid.org/0000-0002-0839-9402"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Mun-Cheon Kang","raw_affiliation_strings":["School of Electrical Engineering Department, Korea University, Sungbuk-gu, Seoul, Rep. of Korea","Korea University,Seoul, 136-713, Rep. of Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering Department, Korea University, Sungbuk-gu, Seoul, Rep. of Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea University,Seoul, 136-713, Rep. of Korea#TAB#","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086983821","display_name":"Kwang-Hyun Uhm","orcid":"https://orcid.org/0000-0002-0819-2575"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwang-Hyun Uhm","raw_affiliation_strings":["School of Electrical Engineering Department, Korea University, Sungbuk-gu, Seoul, Rep. of Korea","Korea University,Seoul, 136-713, Rep. of Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering Department, Korea University, Sungbuk-gu, Seoul, Rep. of Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea University,Seoul, 136-713, Rep. of Korea#TAB#","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020023785","display_name":"Sung-Jea Ko","orcid":"https://orcid.org/0000-0002-4875-7091"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Jea Ko","raw_affiliation_strings":["School of Electrical Engineering Department, Korea University, Sungbuk-gu, Seoul, Rep. of Korea","Korea University,Seoul, 136-713, Rep. of Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering Department, Korea University, Sungbuk-gu, Seoul, Rep. of Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea University,Seoul, 136-713, Rep. of Korea#TAB#","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":1.9888,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.9104561,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"62","issue":"2","first_page":"159","last_page":"165"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9958000183105469,"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":0.9957000017166138,"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/interpolation","display_name":"Interpolation (computer graphics)","score":0.8050148487091064},{"id":"https://openalex.org/keywords/stairstep-interpolation","display_name":"Stairstep interpolation","score":0.7358889579772949},{"id":"https://openalex.org/keywords/taylor-series","display_name":"Taylor series","score":0.6175847053527832},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.5744141340255737},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5492000579833984},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5425738096237183},{"id":"https://openalex.org/keywords/bicubic-interpolation","display_name":"Bicubic interpolation","score":0.5397006869316101},{"id":"https://openalex.org/keywords/nearest-neighbor-interpolation","display_name":"Nearest-neighbor interpolation","score":0.5276347994804382},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.509688138961792},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49863433837890625},{"id":"https://openalex.org/keywords/multivariate-interpolation","display_name":"Multivariate interpolation","score":0.4676836133003235},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4625501036643982},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44846591353416443},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.44010546803474426},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4387274384498596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4311055839061737},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4242274761199951},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4239719808101654},{"id":"https://openalex.org/keywords/demosaicing","display_name":"Demosaicing","score":0.4192030131816864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3748512864112854},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.3712410628795624},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3090622127056122},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.16885825991630554},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10840657353401184},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.07549360394477844}],"concepts":[{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.8050148487091064},{"id":"https://openalex.org/C119768884","wikidata":"https://www.wikidata.org/wiki/Q7597108","display_name":"Stairstep interpolation","level":4,"score":0.7358889579772949},{"id":"https://openalex.org/C158946198","wikidata":"https://www.wikidata.org/wiki/Q131187","display_name":"Taylor series","level":2,"score":0.6175847053527832},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.5744141340255737},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5492000579833984},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5425738096237183},{"id":"https://openalex.org/C49608258","wikidata":"https://www.wikidata.org/wiki/Q611705","display_name":"Bicubic interpolation","level":4,"score":0.5397006869316101},{"id":"https://openalex.org/C207214200","wikidata":"https://www.wikidata.org/wiki/Q4202129","display_name":"Nearest-neighbor interpolation","level":4,"score":0.5276347994804382},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.509688138961792},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49863433837890625},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.4676836133003235},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4625501036643982},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44846591353416443},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.44010546803474426},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4387274384498596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4311055839061737},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4242274761199951},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4239719808101654},{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.4192030131816864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3748512864112854},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.3712410628795624},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3090622127056122},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.16885825991630554},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10840657353401184},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.07549360394477844},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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":1,"locations":[{"id":"doi:10.1109/tce.2016.7514715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2016.7514715","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1974897896","https://openalex.org/W1995228944","https://openalex.org/W1995258445","https://openalex.org/W1999821839","https://openalex.org/W2015374556","https://openalex.org/W2016980974","https://openalex.org/W2024251976","https://openalex.org/W2044011870","https://openalex.org/W2049237558","https://openalex.org/W2100030509","https://openalex.org/W2111454493","https://openalex.org/W2121661625","https://openalex.org/W2124378283","https://openalex.org/W2133665775","https://openalex.org/W2142619375","https://openalex.org/W2143384667","https://openalex.org/W2157190232","https://openalex.org/W2157494358","https://openalex.org/W2172128189","https://openalex.org/W2296751318","https://openalex.org/W6697210979"],"related_works":["https://openalex.org/W2352808182","https://openalex.org/W2553003891","https://openalex.org/W2380706286","https://openalex.org/W2062947881","https://openalex.org/W2359865259","https://openalex.org/W2036543038","https://openalex.org/W2355602298","https://openalex.org/W2125860982","https://openalex.org/W2088783111","https://openalex.org/W2356755329"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,56,82],"novel":[4],"real-time":[5],"edge-guided":[6,88],"interpolation":[7,89,97],"method":[8,29,98],"is":[9,61],"presented":[10],"to":[11,40,58,85],"produce":[12],"the":[13,31,42,47,53,79,87,95,100],"high":[14],"resolution":[15],"image":[16,39,110],"without":[17],"any":[18],"disturbing":[19],"artifacts":[20],"such":[21],"as":[22],"blurring,":[23],"jagging,":[24],"and":[25,33,108],"overshooting.":[26],"The":[27,70],"proposed":[28,96],"computes":[30],"first-":[32],"second-order":[34],"derivatives":[35],"of":[36,44,55,81,106],"an":[37],"input":[38],"measure":[41],"geometry":[43],"edges":[45],"in":[46,104],"image.":[48],"Based":[49],"on":[50,78],"these":[51],"measures,":[52],"value":[54],"pixel":[57],"be":[59],"interpolated":[60],"estimated":[62],"along":[63],"four":[64,71],"directions":[65],"using":[66],"Taylor":[67],"series":[68],"approximation.":[69],"directional":[72],"estimates":[73],"are":[74],"adaptively":[75],"fused":[76],"based":[77],"orientation":[80],"local":[83],"edge":[84],"obtain":[86],"output.":[90],"Experimental":[91],"results":[92],"demonstrate":[93],"that":[94],"outperforms":[99],"conventional":[101],"ones":[102],"both":[103],"terms":[105],"objective":[107],"subjective":[109],"qualities":[111],"with":[112],"low":[113],"computational":[114],"complexity.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}