{"id":"https://openalex.org/W2024353898","doi":"https://doi.org/10.1109/tcsvt.2014.2347531","title":"Adaptive General Scale Interpolation Based on Weighted Autoregressive Models","display_name":"Adaptive General Scale Interpolation Based on Weighted Autoregressive Models","publication_year":2014,"publication_date":"2014-08-13","ids":{"openalex":"https://openalex.org/W2024353898","doi":"https://doi.org/10.1109/tcsvt.2014.2347531","mag":"2024353898"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2014.2347531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2014.2347531","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5060424860","display_name":"Mading Li","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mading Li","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China","Institute of Computer Science & Technology, Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Computer Science & Technology, Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761525","display_name":"Jiaying Liu","orcid":"https://orcid.org/0000-0002-0468-9576"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaying Liu","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China","Institute of Computer Science & Technology, Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Computer Science & Technology, Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103893731","display_name":"Jie Ren","orcid":"https://orcid.org/0000-0003-2663-6405"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Ren","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China","Institute of Computer Science & Technology, Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Computer Science & Technology, Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086158790","display_name":"Zongming Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongming Guo","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China","Institute of Computer Science & Technology, Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Computer Science & Technology, Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060424860"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":2.41141545,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.91437569,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"25","issue":"2","first_page":"200","last_page":"211"},"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":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9984999895095825,"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/pixel","display_name":"Pixel","score":0.7006224393844604},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.695294976234436},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6337792873382568},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6171086430549622},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5667968392372131},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.5540991425514221},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.4934064447879791},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49244245886802673},{"id":"https://openalex.org/keywords/stairstep-interpolation","display_name":"Stairstep interpolation","score":0.46185362339019775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41921231150627136},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.353641152381897},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.32983025908470154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27566659450531006},{"id":"https://openalex.org/keywords/spline-interpolation","display_name":"Spline interpolation","score":0.24728667736053467},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15264800190925598},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12028440833091736}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7006224393844604},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.695294976234436},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6337792873382568},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6171086430549622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5667968392372131},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.5540991425514221},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.4934064447879791},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49244245886802673},{"id":"https://openalex.org/C119768884","wikidata":"https://www.wikidata.org/wiki/Q7597108","display_name":"Stairstep interpolation","level":4,"score":0.46185362339019775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41921231150627136},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.353641152381897},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32983025908470154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27566659450531006},{"id":"https://openalex.org/C31447003","wikidata":"https://www.wikidata.org/wiki/Q545002","display_name":"Spline interpolation","level":3,"score":0.24728667736053467},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15264800190925598},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12028440833091736},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2014.2347531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2014.2347531","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G331294149","display_name":null,"funder_award_id":"4142021","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G7894294482","display_name":null,"funder_award_id":"61101078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1973207880","https://openalex.org/W1974897896","https://openalex.org/W1990020994","https://openalex.org/W1990566152","https://openalex.org/W1992331286","https://openalex.org/W1995258445","https://openalex.org/W2012340427","https://openalex.org/W2016598597","https://openalex.org/W2019798870","https://openalex.org/W2024540643","https://openalex.org/W2033943003","https://openalex.org/W2034540921","https://openalex.org/W2035038275","https://openalex.org/W2064973427","https://openalex.org/W2073795739","https://openalex.org/W2080875060","https://openalex.org/W2088487498","https://openalex.org/W2097073572","https://openalex.org/W2117865218","https://openalex.org/W2121058967","https://openalex.org/W2124378283","https://openalex.org/W2133665775","https://openalex.org/W2143384667","https://openalex.org/W2146640671","https://openalex.org/W2157190232","https://openalex.org/W2157494358","https://openalex.org/W2160065436","https://openalex.org/W2161943632","https://openalex.org/W2167789654","https://openalex.org/W2172128189","https://openalex.org/W3098215059","https://openalex.org/W3104720471","https://openalex.org/W6681246137","https://openalex.org/W6683935800"],"related_works":["https://openalex.org/W2037074416","https://openalex.org/W2862127989","https://openalex.org/W2019120784","https://openalex.org/W2149688417","https://openalex.org/W1976009274","https://openalex.org/W2355365805","https://openalex.org/W2357594734","https://openalex.org/W1599856173","https://openalex.org/W2375583785","https://openalex.org/W1964194501"],"abstract_inverted_index":{"The":[0,158],"autoregressive":[1],"(AR)":[2],"model":[3,27],"has":[4],"been":[5],"widely":[6],"used":[7],"in":[8,16,62,174,181],"signal":[9],"processing":[10],"for":[11,114,130],"its":[12],"effective":[13],"estimation,":[14],"especially":[15],"image":[17],"processing.":[18],"Many":[19],"dedicated":[20,94],"2\u00d7":[21,95],"interpolation":[22,76,96],"algorithms":[23],"adopt":[24],"the":[25,30,49,63,86,98,115,136,143,148,151,179],"AR":[26,43,100,122],"to":[28,139],"describe":[29],"strong":[31],"correlation":[32],"between":[33,53],"low-resolution":[34],"(LR)":[35],"pixels":[36,55,58,105],"and":[37,56,198,203],"high-resolution":[38],"(HR)":[39],"pixels.":[40],"However,":[41],"these":[42],"model-based":[44],"methods":[45],"closely":[46],"depend":[47],"on":[48,135,154,192],"fixed":[50],"relative":[51],"position":[52],"LR":[54],"HR":[57,110],"that":[59,78],"are":[60,102],"nonexistent":[61],"general":[64,74,131,155],"scale":[65,75,132],"interpolation.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70,124,186],"present":[71],"an":[72],"adaptive":[73,171,183],"algorithm":[77],"is":[79,165],"capable":[80],"of":[81,88,121,142,150,161],"arbitrary":[82],"scaling":[83,156],"factors":[84],"considering":[85],"nonstationarity":[87],"natural":[89],"images.":[90],"Different":[91],"from":[92],"other":[93],"methods,":[97],"proposed":[99,152],"terms":[101],"modeled":[103],"by":[104,119],"with":[106,169],"their":[107],"adjacent":[108],"unknown":[109],"neighbors.":[111],"To":[112,177],"compensate":[113],"information":[116],"loss":[117],"caused":[118],"mismatches":[120],"models,":[123],"consider":[125],"a":[126],"weighting":[127],"scheme":[128],"suitable":[129],"situations":[133],"based":[134],"pixel":[137],"similarity":[138],"increase":[140],"accuracy":[141],"estimation.":[144],"Comprehensive":[145],"experiments":[146],"demonstrate":[147],"effectiveness":[149],"method":[153,191],"factors.":[157],"maximum":[159],"gain":[160],"peak":[162],"signal-to-noise":[163],"ratio":[164],"2.07":[166],"dB":[167],"compared":[168],"segment":[170],"gradient":[172],"angle":[173],"1.5\u00d7":[175],"enlargements.":[176],"evaluate":[178],"performance":[180],"resolution":[182],"video":[184],"coding,":[185],"have":[187],"also":[188],"tested":[189],"our":[190],"Joint":[193],"Scalable":[194],"Video":[195],"Model":[196],"codec":[197],"obtained":[199],"better":[200],"subjective":[201],"quality":[202],"rate-distortion":[204],"performance.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}