{"id":"https://openalex.org/W2008372001","doi":"https://doi.org/10.1109/iscas.2013.6572298","title":"Adaptive general scale interpolation based on similar pixels weighting","display_name":"Adaptive general scale interpolation based on similar pixels weighting","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2008372001","doi":"https://doi.org/10.1109/iscas.2013.6572298","mag":"2008372001"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2013.6572298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2013.6572298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)","raw_type":"proceedings-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":1.3608,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83207048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"2143","last_page":"2146"},"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":0.9983000159263611,"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":0.9976999759674072,"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":0.8972331881523132},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.7002694606781006},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.6784507036209106},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6323335766792297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5681441426277161},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5152176022529602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48800793290138245},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47246503829956055},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.451930433511734},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4084945023059845},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38214799761772156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38136065006256104},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3698272705078125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3586427867412567},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24193477630615234},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.061780691146850586}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8972331881523132},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7002694606781006},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.6784507036209106},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6323335766792297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5681441426277161},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5152176022529602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48800793290138245},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47246503829956055},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.451930433511734},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4084945023059845},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38214799761772156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38136065006256104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3698272705078125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3586427867412567},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24193477630615234},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.061780691146850586},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2013.6572298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2013.6572298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)","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":5,"referenced_works":["https://openalex.org/W1992331286","https://openalex.org/W2035038275","https://openalex.org/W2124378283","https://openalex.org/W2167789654","https://openalex.org/W2172128189"],"related_works":["https://openalex.org/W2044092692","https://openalex.org/W2614621130","https://openalex.org/W2547665164","https://openalex.org/W3103111272","https://openalex.org/W4289655544","https://openalex.org/W2394941659","https://openalex.org/W1498671902","https://openalex.org/W2008372001","https://openalex.org/W33056850","https://openalex.org/W2465174208"],"abstract_inverted_index":{"In":[0,20],"this":[1],"paper,":[2],"we":[3,89,104],"propose":[4],"an":[5],"adaptive":[6],"general":[7,86,136],"scale":[8],"interpolation":[9],"algorithm":[10],"considering":[11],"the":[12,56,106,116,121,129,132],"non-stationarity":[13,122],"of":[14,64,98,123,131],"natural":[15],"images":[16],"in":[17,55],"local":[18,112],"areas.":[19],"image":[21,124],"2\u00d7":[22],"enlargement,":[23],"there":[24],"are":[25,52,68],"fixed":[26,54],"relative":[27,50],"positions":[28,51],"between":[29,108],"low-resolution":[30],"(LR)":[31],"pixels":[32,39,67,72,109],"and":[33,62],"high-resolution":[34],"(HR)":[35],"pixels.":[36,79],"Unknown":[37],"HR":[38,71],"can":[40,73],"be":[41,75],"estimated":[42,76],"by":[43,77,119],"their":[44,99],"available":[45,65,100],"LR":[46,66,78,101],"neighbors.":[47,102],"However,":[48],"such":[49],"not":[53,74],"general-scale":[57],"enlargement":[58],"situations.":[59],"The":[60],"number":[61],"position":[63],"indeterminate,":[69],"therefore":[70],"To":[80],"make":[81],"our":[82],"method":[83,134],"suitable":[84],"for":[85],"scaling":[87,137],"factors,":[88],"construct":[90],"autoregressive":[91],"(AR)":[92],"models":[93],"with":[94],"pixels'":[95],"neighbors":[96],"instead":[97],"Simultaneously,":[103],"introduce":[105],"similarity":[107],"within":[110],"a":[111],"window,":[113],"which":[114],"improves":[115],"method's":[117],"performance":[118],"modeling":[120],"signals.":[125],"Experimental":[126],"results":[127],"demonstrate":[128],"effectiveness":[130],"proposed":[133],"on":[135],"factors.":[138]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}