{"id":"https://openalex.org/W2565764649","doi":"https://doi.org/10.1109/tcsvt.2016.2638864","title":"Isophote-Constrained Autoregressive Model With Adaptive Window Extension for Image Interpolation","display_name":"Isophote-Constrained Autoregressive Model With Adaptive Window Extension for Image Interpolation","publication_year":2016,"publication_date":"2016-12-13","ids":{"openalex":"https://openalex.org/W2565764649","doi":"https://doi.org/10.1109/tcsvt.2016.2638864","mag":"2565764649"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2016.2638864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2638864","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/A5070884682","display_name":"Wenhan Yang","orcid":"https://orcid.org/0000-0002-1692-0069"},"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":"Wenhan Yang","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","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"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","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":false,"raw_author_name":"Mading Li","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001396675","display_name":"Zongming Guo","orcid":"https://orcid.org/0000-0002-4944-9621"},"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":["Cooperative Medianet Innovation Center, Shanghai, China","Institute of Computer Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070884682"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.67,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.89687348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":"5","first_page":"1071","last_page":"1086"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9973000288009644,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9941999912261963,"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/interpolation","display_name":"Interpolation (computer graphics)","score":0.6928386688232422},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.653631865978241},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6477753520011902},{"id":"https://openalex.org/keywords/ringing-artifacts","display_name":"Ringing artifacts","score":0.5968008041381836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5368521809577942},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.5214642286300659},{"id":"https://openalex.org/keywords/stairstep-interpolation","display_name":"Stairstep interpolation","score":0.4718209207057953},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4715172052383423},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4688488245010376},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.46318671107292175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44250309467315674},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4023260772228241},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3700646758079529},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36767685413360596},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3652788996696472},{"id":"https://openalex.org/keywords/linear-interpolation","display_name":"Linear interpolation","score":0.1622467339038849},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10273385047912598}],"concepts":[{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6928386688232422},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.653631865978241},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6477753520011902},{"id":"https://openalex.org/C17828673","wikidata":"https://www.wikidata.org/wiki/Q7334899","display_name":"Ringing artifacts","level":3,"score":0.5968008041381836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5368521809577942},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.5214642286300659},{"id":"https://openalex.org/C119768884","wikidata":"https://www.wikidata.org/wiki/Q7597108","display_name":"Stairstep interpolation","level":4,"score":0.4718209207057953},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4715172052383423},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4688488245010376},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.46318671107292175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44250309467315674},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4023260772228241},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3700646758079529},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36767685413360596},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3652788996696472},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.1622467339038849},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10273385047912598}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2016.2638864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2638864","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/G6079293146","display_name":null,"funder_award_id":"61472011","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W935139217","https://openalex.org/W1539200859","https://openalex.org/W1599195847","https://openalex.org/W1971066121","https://openalex.org/W1974897896","https://openalex.org/W1976416062","https://openalex.org/W1981199328","https://openalex.org/W1990566152","https://openalex.org/W1995258445","https://openalex.org/W2003884262","https://openalex.org/W2012340427","https://openalex.org/W2024353898","https://openalex.org/W2024647105","https://openalex.org/W2033943003","https://openalex.org/W2035038275","https://openalex.org/W2044011870","https://openalex.org/W2061398022","https://openalex.org/W2064973427","https://openalex.org/W2080875060","https://openalex.org/W2087401054","https://openalex.org/W2088487498","https://openalex.org/W2097074225","https://openalex.org/W2098506229","https://openalex.org/W2103106600","https://openalex.org/W2117865218","https://openalex.org/W2118797674","https://openalex.org/W2121058967","https://openalex.org/W2124378283","https://openalex.org/W2131024476","https://openalex.org/W2133665775","https://openalex.org/W2140050933","https://openalex.org/W2143384667","https://openalex.org/W2147901574","https://openalex.org/W2149669120","https://openalex.org/W2150081556","https://openalex.org/W2157190232","https://openalex.org/W2157494358","https://openalex.org/W2167343587","https://openalex.org/W2167706775","https://openalex.org/W2172128189","https://openalex.org/W2286454943","https://openalex.org/W2534320940","https://openalex.org/W3104720471","https://openalex.org/W3137074406","https://openalex.org/W4250589301","https://openalex.org/W6624640001","https://openalex.org/W6656500909","https://openalex.org/W6696118455"],"related_works":["https://openalex.org/W2352808182","https://openalex.org/W1543903089","https://openalex.org/W2361821952","https://openalex.org/W3080827050","https://openalex.org/W2125860982","https://openalex.org/W2359696437","https://openalex.org/W2351169239","https://openalex.org/W2359865259","https://openalex.org/W2082634395","https://openalex.org/W2365183571"],"abstract_inverted_index":{"The":[0],"autoregressive":[1],"(AR)":[2],"model":[3,20,70,101],"is":[4,148],"widely":[5],"used":[6,130],"in":[7,202],"image":[8,22,32,59],"interpolations.":[9],"Traditional":[10],"AR":[11,68,85,135,151],"models":[12],"consider":[13],"utilizing":[14],"the":[15,21,27,42,49,93,96,99,109,125,140,165,182,192,199],"dependence":[16],"between":[17,51],"pixels":[18,55],"to":[19,39,47,71,116,131],"signal.":[23],"However,":[24],"they":[25],"ignore":[26],"valuable":[28],"patch-level":[29,45,126,158],"information":[30,46],"for":[31,150,212,220],"modeling.":[33],"In":[34,62,191],"this":[35],"paper,":[36],"we":[37,64,153],"propose":[38,65,155],"integrate":[40],"both":[41,205,213],"pixel-level":[43,156],"and":[44,53,56,81,143,157,161,185,209,219],"depict":[48],"relationship":[50],"high-resolution":[52],"low-resolution":[54],"obtain":[57],"better":[58,138],"interpolation":[60,74,86],"results.":[61],"particular,":[63],"an":[66,76,84,88,118],"isophote-constrained":[67],"(ICAR)":[69],"perform":[72],"AR-flavored":[73],"within":[75],"identified":[77],"joint":[78,134],"stable":[79],"region":[80,115],"further":[82,154],"develop":[83],"with":[87],"adaptive":[89,119],"window":[90],"extension.":[91],"Considering":[92],"smoothness":[94],"along":[95,108],"isophote":[97,110],"curve,":[98],"ICAR":[100,166,171],"searches":[102],"only":[103],"several":[104],"successive":[105],"similar":[106],"patches":[107],"curve":[111],"over":[112],"a":[113,133,146,169],"large":[114],"construct":[117,132],"window.":[120],"These":[121],"overlapped":[122],"patches,":[123],"representing":[124],"structure":[127],"similarity,":[128],"are":[129],"model.":[136,172],"To":[137],"characterize":[139],"piecewise":[141],"stationarity":[142],"determine":[144],"whether":[145],"pixel":[147],"suitable":[149],"estimation,":[152],"similarity":[159,211],"metrics":[160],"embed":[162],"them":[163],"into":[164],"model,":[167],"introducing":[168],"weighted":[170],"Comprehensive":[173],"experiments":[174],"demonstrate":[175],"that":[176],"our":[177,196],"method":[178,197],"can":[179],"effectively":[180],"reconstruct":[181],"edge":[183],"structures":[184],"suppress":[186],"jaggy":[187],"or":[188],"ringing":[189],"artifacts.":[190],"objective":[193],"quality":[194],"evaluation,":[195],"achieves":[198],"best":[200],"results":[201],"terms":[203],"of":[204],"peak":[206],"signal-to-noise":[207],"ratio":[208],"structural":[210],"simple":[214],"size":[215],"doubling":[216],"(two":[217],"times)":[218],"arbitrary":[221],"scale":[222],"enlargements.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}