{"id":"https://openalex.org/W2045239246","doi":"https://doi.org/10.1109/wcsp.2011.6096772","title":"Improved SAI method using non-local spatial constraint for image interpolation","display_name":"Improved SAI method using non-local spatial constraint for image interpolation","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2045239246","doi":"https://doi.org/10.1109/wcsp.2011.6096772","mag":"2045239246"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2011.6096772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2011.6096772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5018920545","display_name":"Jueping Bian","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jueping Bian","raw_affiliation_strings":["Jiangsu province key Laboratory on image processing & image communication, NUPT, Nanjing, China","Jiangsu province key lab on image processing & image communication, NUPT, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu province key Laboratory on image processing & image communication, NUPT, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Jiangsu province key lab on image processing & image communication, NUPT, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103297474","display_name":"Zongliang Gan","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongliang Gan","raw_affiliation_strings":["Jiangsu province key Laboratory on image processing & image communication, NUPT, Nanjing, China","Jiangsu province key lab on image processing & image communication, NUPT, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu province key Laboratory on image processing & image communication, NUPT, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Jiangsu province key lab on image processing & image communication, NUPT, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019518133","display_name":"Mengcheng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengcheng Zhang","raw_affiliation_strings":["Jiangsu province key Laboratory on image processing & image communication, NUPT, Nanjing, China","Jiangsu province key lab on image processing & image communication, NUPT, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu province key Laboratory on image processing & image communication, NUPT, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Jiangsu province key lab on image processing & image communication, NUPT, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100528938","display_name":"Xiuchang Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuchang Zhu","raw_affiliation_strings":["Jiangsu province key Laboratory on image processing & image communication, NUPT, Nanjing, China","Jiangsu province key lab on image processing & image communication, NUPT, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu province key Laboratory on image processing & image communication, NUPT, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Jiangsu province key lab on image processing & image communication, NUPT, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"1","last_page":"4"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9962000250816345,"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":0.9907000064849854,"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/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.6478262543678284},{"id":"https://openalex.org/keywords/stairstep-interpolation","display_name":"Stairstep interpolation","score":0.635476291179657},{"id":"https://openalex.org/keywords/nearest-neighbor-interpolation","display_name":"Nearest-neighbor interpolation","score":0.6078189015388489},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6072438359260559},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5667956471443176},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.5293225646018982},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5289590358734131},{"id":"https://openalex.org/keywords/augmented-lagrangian-method","display_name":"Augmented Lagrangian method","score":0.5064462423324585},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4963718056678772},{"id":"https://openalex.org/keywords/lagrange-multiplier","display_name":"Lagrange multiplier","score":0.4856463670730591},{"id":"https://openalex.org/keywords/multivariate-interpolation","display_name":"Multivariate interpolation","score":0.4723690152168274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4712536633014679},{"id":"https://openalex.org/keywords/bicubic-interpolation","display_name":"Bicubic interpolation","score":0.46717721223831177},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46673381328582764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4610196352005005},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.43924203515052795},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4271005690097809},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38078033924102783},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3409639894962311},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27584677934646606}],"concepts":[{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.6478262543678284},{"id":"https://openalex.org/C119768884","wikidata":"https://www.wikidata.org/wiki/Q7597108","display_name":"Stairstep interpolation","level":4,"score":0.635476291179657},{"id":"https://openalex.org/C207214200","wikidata":"https://www.wikidata.org/wiki/Q4202129","display_name":"Nearest-neighbor interpolation","level":4,"score":0.6078189015388489},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6072438359260559},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5667956471443176},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.5293225646018982},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5289590358734131},{"id":"https://openalex.org/C150452318","wikidata":"https://www.wikidata.org/wiki/Q4820432","display_name":"Augmented Lagrangian method","level":2,"score":0.5064462423324585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4963718056678772},{"id":"https://openalex.org/C73684929","wikidata":"https://www.wikidata.org/wiki/Q598870","display_name":"Lagrange multiplier","level":2,"score":0.4856463670730591},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.4723690152168274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4712536633014679},{"id":"https://openalex.org/C49608258","wikidata":"https://www.wikidata.org/wiki/Q611705","display_name":"Bicubic interpolation","level":4,"score":0.46717721223831177},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46673381328582764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4610196352005005},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.43924203515052795},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4271005690097809},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38078033924102783},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3409639894962311},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27584677934646606},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp.2011.6096772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2011.6096772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1579828764","https://openalex.org/W2006262236","https://openalex.org/W2052914491","https://openalex.org/W2097073572","https://openalex.org/W2124378283","https://openalex.org/W2146640671","https://openalex.org/W2157190232","https://openalex.org/W2172128189","https://openalex.org/W2302522700","https://openalex.org/W6634856151","https://openalex.org/W6663782416","https://openalex.org/W6681246137"],"related_works":["https://openalex.org/W2352808182","https://openalex.org/W2553003891","https://openalex.org/W2062947881","https://openalex.org/W2359865259","https://openalex.org/W2036543038","https://openalex.org/W2355602298","https://openalex.org/W2125860982","https://openalex.org/W2356755329","https://openalex.org/W2912021003","https://openalex.org/W2360673347"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"improved":[4,131],"image":[5],"interpolation":[6,13,41],"method":[7,132],"based":[8],"on":[9],"the":[10,25,40,46,60,66,72,78,86,98,101,106,116,123,130],"soft-decision":[11],"adaptive":[12],"(SAI)":[14],"algorithm.":[15],"Natural":[16],"images":[17,111],"often":[18],"contain":[19],"repeatable":[20],"patterns":[21],"and":[22,49,77,93,108,139],"structures":[23],"throughout":[24],"image,":[26,76],"which":[27],"is":[28,112],"called":[29],"non-local":[30,36,94],"property.":[31],"We":[32],"can":[33,81,133],"use":[34],"this":[35],"strategy":[37],"to":[38,114,121],"improve":[39],"quality":[42],"by":[43],"better":[44],"estimating":[45],"model":[47,79,92],"parameters":[48,80],"Lagrangian":[50,117],"multiplier.":[51],"There":[52],"are":[53,69],"two":[54],"steps":[55],"in":[56,71],"our":[57],"method.":[58],"In":[59,97],"first":[61],"step,":[62,100],"similar":[63],"patches":[64,104],"of":[65,103],"given":[67],"block":[68],"found":[70],"initialized":[73],"high":[74,107],"resolution":[75,110],"be":[82],"determined":[83],"properly":[84],"using":[85],"expanded":[87],"piecewise":[88],"auto":[89],"regression":[90],"(PAR)":[91],"spatial":[95],"constraint.":[96],"second":[99],"self-similarity":[102],"across":[105],"low":[109],"exploited":[113],"solve":[115],"multiplier":[118],"\u03bb,":[119],"thus":[120],"make":[122],"data":[124],"estimation":[125],"robust.":[126],"Experiments":[127],"indicate":[128],"that":[129],"achieve":[134],"good":[135],"results":[136],"both":[137],"subjectively":[138],"objectively.":[140]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}