{"id":"https://openalex.org/W2294748259","doi":"https://doi.org/10.1109/icip.2015.7351212","title":"Adaptive autoregressive model with window extension via explicit geometry for image interpolation","display_name":"Adaptive autoregressive model with window extension via explicit geometry for image interpolation","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2294748259","doi":"https://doi.org/10.1109/icip.2015.7351212","mag":"2294748259"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5100760907","display_name":"Qingyun Wang","orcid":"https://orcid.org/0000-0002-2659-6100"},"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":"Qingyun Wang","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, 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, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","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":false,"raw_author_name":"Wenhan Yang","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, 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":["Institute of Computer Science and Technology, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"2300","last_page":"2304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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":0.9937999844551086,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9887999892234802,"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/piecewise","display_name":"Piecewise","score":0.6599517464637756},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6575813293457031},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6233782172203064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5709115266799927},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.532551646232605},{"id":"https://openalex.org/keywords/geodesic","display_name":"Geodesic","score":0.5086532235145569},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48142001032829285},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.44381439685821533},{"id":"https://openalex.org/keywords/multicollinearity","display_name":"Multicollinearity","score":0.42439591884613037},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4173259735107422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41022825241088867},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3303368091583252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32317355275154114},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.22226300835609436},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.157476544380188},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1365462839603424},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09769275784492493}],"concepts":[{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.6599517464637756},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6575813293457031},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6233782172203064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5709115266799927},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.532551646232605},{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.5086532235145569},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48142001032829285},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.44381439685821533},{"id":"https://openalex.org/C189285262","wikidata":"https://www.wikidata.org/wiki/Q1332350","display_name":"Multicollinearity","level":3,"score":0.42439591884613037},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4173259735107422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41022825241088867},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3303368091583252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32317355275154114},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.22226300835609436},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.157476544380188},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1365462839603424},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09769275784492493},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1990566152","https://openalex.org/W2008372001","https://openalex.org/W2012340427","https://openalex.org/W2028914780","https://openalex.org/W2035038275","https://openalex.org/W2074504146","https://openalex.org/W2088487498","https://openalex.org/W2135147417","https://openalex.org/W2157190232","https://openalex.org/W2172128189","https://openalex.org/W6652516434"],"related_works":["https://openalex.org/W2229495757","https://openalex.org/W210577557","https://openalex.org/W2935056047","https://openalex.org/W2094981715","https://openalex.org/W4293757468","https://openalex.org/W2888841658","https://openalex.org/W2188829624","https://openalex.org/W2093292986","https://openalex.org/W2971843680","https://openalex.org/W2129552374"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,75],"novel":[6],"adaptive":[7,64],"autoregressive":[8],"(AR)":[9],"model":[10],"constructed":[11],"with":[12,110],"an":[13],"explicit":[14],"geometry":[15],"based":[16,56,79],"extended":[17],"window":[18,42],"for":[19],"image":[20],"interpolation.":[21],"Geometric":[22],"features":[23,34],"are":[24,35],"chosen":[25],"as":[26],"criterions":[27],"to":[28,43],"include":[29],"more":[30],"useful":[31],"pixels.":[32],"These":[33],"estimated":[36],"explicitly":[37],"and":[38,60,117],"guide":[39],"the":[40,48,53,63,69,72,84,86,102],"interpolation":[41,112],"extend":[44],"adaptively.":[45],"To":[46],"characterize":[47],"piecewise":[49,93],"stationary":[50],"of":[51,71],"images,":[52],"patch-geodesic":[54],"distance":[55],"similarity":[57],"is":[58,81,96,105],"proposed":[59,103],"modulated":[61],"into":[62],"AR":[65],"model.":[66],"For":[67],"increasing":[68],"precision":[70],"parameter":[73],"estimation,":[74,85],"weighted":[76],"ridge":[77],"regression":[78],"estimation":[80],"employed.":[82],"With":[83],"multicollinearity":[87],"between":[88],"parameters,":[89],"which":[90],"occurs":[91],"in":[92,114],"stationarity":[94],"conditions,":[95],"eliminated.":[97],"Experimental":[98],"results":[99],"demonstrate":[100],"that":[101],"method":[104],"better":[106],"than":[107],"or":[108],"competitive":[109],"state-of-the-art":[111],"methods":[113],"both":[115],"objective":[116],"subjective":[118],"quality":[119],"evaluations.":[120]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}