{"id":"https://openalex.org/W2028914780","doi":"https://doi.org/10.1109/icip.2014.7025372","title":"General scale interpolation based on fine-grained isophote model with consistency constraint","display_name":"General scale interpolation based on fine-grained isophote model with consistency constraint","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2028914780","doi":"https://doi.org/10.1109/icip.2014.7025372","mag":"2028914780"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/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, P.R. China","Institute of Computer Science and Technology, Peking University, Beijing, P. R. China, 100871"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P. R. China, 100871","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, P.R. China","Institute of Computer Science and Technology, Peking University, Beijing, P. R. China, 100871"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P. R. China, 100871","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, P.R. China","Institute of Computer Science and Technology, Peking University, Beijing, P. R. China, 100871"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P. R. China, 100871","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, Beijing, P.R. China","Institute of Computer Science and Technology, Peking University, Beijing, P. R. China, 100871"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P. R. China, 100871","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":0.4877,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68680646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"1857","last_page":"1861"},"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":0.9988999962806702,"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":0.9984999895095825,"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/interpolation","display_name":"Interpolation (computer graphics)","score":0.7683523297309875},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.6444390416145325},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5912554264068604},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5696113705635071},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5446495413780212},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5002350807189941},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4993782043457031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.468214750289917},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.45676636695861816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.432259738445282},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39021962881088257},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21551045775413513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19592291116714478},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08633947372436523},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07635033130645752}],"concepts":[{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7683523297309875},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.6444390416145325},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5912554264068604},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5696113705635071},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5446495413780212},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5002350807189941},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4993782043457031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.468214750289917},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.45676636695861816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.432259738445282},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39021962881088257},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21551045775413513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19592291116714478},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08633947372436523},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07635033130645752},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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":10,"referenced_works":["https://openalex.org/W1990566152","https://openalex.org/W1992331286","https://openalex.org/W1995258445","https://openalex.org/W2008372001","https://openalex.org/W2012340427","https://openalex.org/W2124378283","https://openalex.org/W2150134853","https://openalex.org/W2155082219","https://openalex.org/W2172128189","https://openalex.org/W6652516434"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W1510768092","https://openalex.org/W2611003898","https://openalex.org/W2230808081"],"abstract_inverted_index":{"In":[0,29,60],"this":[1,21,30],"paper,":[2],"we":[3,23,66],"propose":[4],"a":[5,25],"fine-grained":[6,42],"isophote":[7,56,69],"model":[8,38],"with":[9],"consistency":[10],"constraint":[11],"to":[12,20,37,48,62],"characterize":[13],"the":[14,32,39,50,55,64,68,73,87,95],"piecewise-stationarity":[15],"of":[16],"image":[17],"signals.":[18],"According":[19],"model,":[22,31],"present":[24],"novel":[26],"interpolation":[27],"algorithm.":[28],"displacement":[33,51],"coefficient":[34],"is":[35,46,80],"used":[36],"isophote.":[40],"Then":[41],"pixel":[43],"intensity":[44],"information":[45],"introduced":[47],"correct":[49],"calculation":[52],"and":[53,104],"make":[54],"estimation":[57],"more":[58],"robust.":[59],"order":[61],"handle":[63],"piecewise-stationarity,":[65],"force":[67],"direction":[70],"consistent":[71],"in":[72,101],"local":[74],"window":[75],"when":[76],"an":[77],"interpolated":[78],"line":[79],"piecewise-stationary.":[81],"The":[82],"proposed":[83,96],"algorithm":[84],"can":[85],"accommodate":[86],"general":[88],"scale":[89],"enlargement.":[90],"Experimental":[91],"results":[92],"demonstrate":[93],"that":[94],"approach":[97],"achieves":[98],"better":[99],"performances":[100],"both":[102],"objective":[103],"subjective":[105],"quality":[106],"assessment.":[107]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}