{"id":"https://openalex.org/W3029899931","doi":"https://doi.org/10.1109/tmm.2020.2997126","title":"Weighted Adaptive Image Super-Resolution Scheme Based on Local Fractal Feature and Image Roughness","display_name":"Weighted Adaptive Image Super-Resolution Scheme Based on Local Fractal Feature and Image Roughness","publication_year":2020,"publication_date":"2020-05-25","ids":{"openalex":"https://openalex.org/W3029899931","doi":"https://doi.org/10.1109/tmm.2020.2997126","mag":"3029899931"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2020.2997126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.2997126","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5062116954","display_name":"Xunxiang Yao","orcid":"https://orcid.org/0000-0002-9184-6540"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Xunxiang Yao","raw_affiliation_strings":["Global Big Data and Technologies Centre, School of Electrical and Data Engineering, University of Technology, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Global Big Data and Technologies Centre, School of Electrical and Data Engineering, University of Technology, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063629854","display_name":"Qiang Wu","orcid":"https://orcid.org/0000-0001-5641-2483"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qiang Wu","raw_affiliation_strings":["Global Big Data and Technologies Centre, School of Electrical and Data Engineering, University of Technology, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Global Big Data and Technologies Centre, School of Electrical and Data Engineering, University of Technology, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364026","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-6794-7352"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Global Big Data and Technologies Centre, School of Electrical and Data Engineering, University of Technology, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Global Big Data and Technologies Centre, School of Electrical and Data Engineering, University of Technology, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017899846","display_name":"Fangxun Bao","orcid":"https://orcid.org/0000-0002-2985-1349"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangxun Bao","raw_affiliation_strings":["School of Mathematics, Shandong University, Shandong, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Shandong University, Shandong, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5062116954"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":1.1724,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.80933656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"23","issue":null,"first_page":"1426","last_page":"1441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9850000143051147,"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":0.9753999710083008,"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/fractal","display_name":"Fractal","score":0.686058521270752},{"id":"https://openalex.org/keywords/fractal-compression","display_name":"Fractal compression","score":0.6357038021087646},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6325196027755737},{"id":"https://openalex.org/keywords/fractal-dimension","display_name":"Fractal dimension","score":0.6231809258460999},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5907681584358215},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5210273265838623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5192087292671204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5177218317985535},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4944610595703125},{"id":"https://openalex.org/keywords/fractal-transform","display_name":"Fractal transform","score":0.47123822569847107},{"id":"https://openalex.org/keywords/fractal-analysis","display_name":"Fractal analysis","score":0.4360004663467407},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4037904739379883},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36982572078704834},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34809526801109314},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.075787752866745}],"concepts":[{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.686058521270752},{"id":"https://openalex.org/C109116516","wikidata":"https://www.wikidata.org/wiki/Q2872","display_name":"Fractal compression","level":5,"score":0.6357038021087646},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6325196027755737},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.6231809258460999},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5907681584358215},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5210273265838623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5192087292671204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5177218317985535},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4944610595703125},{"id":"https://openalex.org/C144112376","wikidata":"https://www.wikidata.org/wiki/Q5477512","display_name":"Fractal transform","level":5,"score":0.47123822569847107},{"id":"https://openalex.org/C162494671","wikidata":"https://www.wikidata.org/wiki/Q2845227","display_name":"Fractal analysis","level":4,"score":0.4360004663467407},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4037904739379883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36982572078704834},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34809526801109314},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.075787752866745},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2020.2997126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.2997126","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4693620919","display_name":null,"funder_award_id":"61672018","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"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W33296041","https://openalex.org/W54257720","https://openalex.org/W1032797671","https://openalex.org/W1791560514","https://openalex.org/W1919542679","https://openalex.org/W1930824406","https://openalex.org/W1971066121","https://openalex.org/W1977581467","https://openalex.org/W1992408872","https://openalex.org/W1995258445","https://openalex.org/W2018038558","https://openalex.org/W2034864625","https://openalex.org/W2039539938","https://openalex.org/W2041874252","https://openalex.org/W2043658743","https://openalex.org/W2047920195","https://openalex.org/W2049237558","https://openalex.org/W2054406417","https://openalex.org/W2061398022","https://openalex.org/W2070930708","https://openalex.org/W2078008442","https://openalex.org/W2080903942","https://openalex.org/W2085948138","https://openalex.org/W2103824707","https://openalex.org/W2111454493","https://openalex.org/W2117978039","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2123431518","https://openalex.org/W2124378283","https://openalex.org/W2127041510","https://openalex.org/W2133059825","https://openalex.org/W2145113795","https://openalex.org/W2150081556","https://openalex.org/W2155891363","https://openalex.org/W2157190232","https://openalex.org/W2158270878","https://openalex.org/W2158314884","https://openalex.org/W2168704741","https://openalex.org/W2170457284","https://openalex.org/W2172128189","https://openalex.org/W2242218935","https://openalex.org/W2249673160","https://openalex.org/W2290736026","https://openalex.org/W2342740558","https://openalex.org/W2399409792","https://openalex.org/W2438966692","https://openalex.org/W2509348655","https://openalex.org/W2515159519","https://openalex.org/W2518224564","https://openalex.org/W2518227085","https://openalex.org/W2538403209","https://openalex.org/W2599698286","https://openalex.org/W2800860906","https://openalex.org/W2801706810","https://openalex.org/W2895240252","https://openalex.org/W2914107945","https://openalex.org/W2918300468","https://openalex.org/W2963182372","https://openalex.org/W2963704386","https://openalex.org/W2971026149","https://openalex.org/W2975136131","https://openalex.org/W3137074406","https://openalex.org/W6601367452","https://openalex.org/W6602211262","https://openalex.org/W6661134266","https://openalex.org/W6678209378","https://openalex.org/W6683176719","https://openalex.org/W6685228787","https://openalex.org/W6973812890"],"related_works":["https://openalex.org/W2369209996","https://openalex.org/W2393256726","https://openalex.org/W2140939673","https://openalex.org/W2153499786","https://openalex.org/W2378555636","https://openalex.org/W1998642545","https://openalex.org/W4288450835","https://openalex.org/W1544850754","https://openalex.org/W2979660607","https://openalex.org/W1968941935"],"abstract_inverted_index":{"Image":[0,88],"super-resolution":[1,51,75,89,109,151,196,216,262],"aims":[2],"to":[3,84,96,103,135],"reconstruct":[4],"a":[5,172,202,242],"high-resolution":[6],"image":[7,22,50,71,98,108,144,162,185,195,218,223],"from":[8],"the":[9,19,40,53,70,81,107,114,128,140,161,167,176,184,193,208,226,253,260],"known":[10],"low-resolution":[11],"version.":[12],"During":[13],"this":[14,33,67,105,126,159,237,239],"process,":[15],"it":[16,229],"should":[17],"keep":[18,97],"degree":[20],"of":[21,116,142,178],"roughness":[23,48,72,99,141,163,186,224],"non-decreasing,":[24],"which":[25,170],"reflects":[26],"various":[27,57],"texture":[28,62],"features":[29],"and":[30],"appearance.":[31],"However,":[32],"point":[34],"is":[35,52,76,90,110,123,133,152,164,171,187,212],"not":[36],"well":[37,78],"addressed":[38],"in":[39],"current":[41],"work.":[42],"This":[43],"work":[44,240],"argues":[45],"that":[46,252],"reducing":[47],"during":[49,74],"key":[54,173],"reason":[55],"causing":[56],"problems":[58],"such":[59],"as":[60,92],"artificial":[61],"and/or":[63],"edge":[64],"blur.":[65],"In":[66,101,125,158],"work,":[68,160],"keeping":[69],"non-decreasing":[73],"being":[77],"investigated":[79],"for":[80],"first":[82],"time":[83],"our":[85],"best":[86,148,221],"knowledge.":[87],"cast":[91],"an":[93],"optimization":[94,205],"problem":[95,206],"non-decreasing.":[100],"order":[102],"tackle":[104,236],"problem,":[106,238],"approached":[111],"based":[112],"on":[113,217],"theory":[115],"fractal,":[117],"where":[118,207],"adaptive":[119,134,215],"fractal":[120,130,156,168,179,190,203,210,245],"interpolation":[121,131,180,204],"function":[122],"proposed.":[124],"way,":[127],"rational":[129],"model":[132],"every":[136,143],"local":[137,209],"region.":[138],"Thus,":[139],"region":[145],"can":[146,198],"be":[147,199],"maintained":[149],"while":[150],"carried":[153],"out":[154],"through":[155],"interpolation.":[157],"reflected":[165],"by":[166],"dimension,":[169],"element":[174],"affecting":[175],"construction":[177],"model.":[181],"That":[182],"is,":[183],"measurable":[188],"using":[189,225],"dimension.":[191],"Mathematically,":[192],"overall":[194],"process":[197],"converted":[200],"into":[201],"dimension":[211],"maintained.":[213],"Although":[214],"segments":[219],"may":[220],"maintain":[222],"proposed":[227,254],"method,":[228],"still":[230],"generates":[231],"unnecessary":[232],"block":[233],"artifacts.":[234],"To":[235],"proposes":[241],"fine-grained":[243],"pixel-wise":[244],"function.":[246],"Our":[247],"extensive":[248],"experimental":[249],"results":[250],"demonstrate":[251],"method":[255],"achieves":[256],"encouraging":[257],"performance":[258],"with":[259],"state-of-the-art":[261],"algorithms.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}