{"id":"https://openalex.org/W4372349164","doi":"https://doi.org/10.1109/icassp49357.2023.10096533","title":"Local to global prior Learning for blind Unsupervised Image super Resolution","display_name":"Local to global prior Learning for blind Unsupervised Image super Resolution","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372349164","doi":"https://doi.org/10.1109/icassp49357.2023.10096533"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5014430005","display_name":"Kazuhiro Yamawaki","orcid":"https://orcid.org/0000-0003-4670-548X"},"institutions":[{"id":"https://openalex.org/I173915773","display_name":"Yamaguchi University","ror":"https://ror.org/03cxys317","country_code":"JP","type":"education","lineage":["https://openalex.org/I173915773"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazuhiro Yamawaki","raw_affiliation_strings":["Yamaguchi University,Graduate School of Science and Technology for Innovation,Japan,753-8511"],"affiliations":[{"raw_affiliation_string":"Yamaguchi University,Graduate School of Science and Technology for Innovation,Japan,753-8511","institution_ids":["https://openalex.org/I173915773"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086851360","display_name":"Xian\u2010Hua Han","orcid":"https://orcid.org/0000-0002-5003-3180"},"institutions":[{"id":"https://openalex.org/I173915773","display_name":"Yamaguchi University","ror":"https://ror.org/03cxys317","country_code":"JP","type":"education","lineage":["https://openalex.org/I173915773"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xian-Hua Han","raw_affiliation_strings":["Yamaguchi University,Graduate School of Science and Technology for Innovation,Japan,753-8511"],"affiliations":[{"raw_affiliation_string":"Yamaguchi University,Graduate School of Science and Technology for Innovation,Japan,753-8511","institution_ids":["https://openalex.org/I173915773"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014430005"],"corresponding_institution_ids":["https://openalex.org/I173915773"],"apc_list":null,"apc_paid":null,"fwci":0.1228,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37301682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9934999942779541,"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":0.9905999898910522,"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/computer-science","display_name":"Computer science","score":0.7100943922996521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6769538521766663},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6462361216545105},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6186434030532837},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5232362151145935},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5133994817733765},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.46313241124153137},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4106558859348297},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37963420152664185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1765950620174408},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.11603555083274841}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7100943922996521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6769538521766663},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6462361216545105},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6186434030532837},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5232362151145935},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5133994817733765},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.46313241124153137},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4106558859348297},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37963420152664185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1765950620174408},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.11603555083274841},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.41999998688697815,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2121927366","https://openalex.org/W2242218935","https://openalex.org/W2331128040","https://openalex.org/W2476548250","https://openalex.org/W2607041014","https://openalex.org/W2804078698","https://openalex.org/W2891158090","https://openalex.org/W2902369404","https://openalex.org/W2962903125","https://openalex.org/W2963037581","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2970778968","https://openalex.org/W2982374186","https://openalex.org/W3035304632","https://openalex.org/W3111114371","https://openalex.org/W3174060721","https://openalex.org/W4288107876","https://openalex.org/W4294975744","https://openalex.org/W4311681770","https://openalex.org/W6638194035","https://openalex.org/W6640320771","https://openalex.org/W6702130928","https://openalex.org/W6727340567","https://openalex.org/W6736904528","https://openalex.org/W6746466744","https://openalex.org/W6752378368","https://openalex.org/W6754405603"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W3123087812","https://openalex.org/W2063076820"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1],"neural":[2],"networks":[3],"(DCNN)":[4],"have":[5,233],"dominated":[6],"the":[7,24,35,44,64,70,73,79,94,99,132,156,177,181,190,194,212,226],"single":[8],"image":[9,37,46,58,105,150,216,229],"super":[10,151],"resolution":[11,152,183],"(SR)":[12],"field,":[13],"and":[14,59,77,162,201,218,248,257],"demonstrated":[15,234],"significant":[16],"success":[17],"in":[18,48,93,221,252],"generating":[19],"high-resolution":[20],"(HR)":[21],"images":[22,28],"from":[23,72,110],"ideal":[25],"low-resolution":[26,195],"(LR)":[27],"captured":[29,47],"under":[30],"controlled":[31],"imaging":[32],"conditions.":[33],"However,":[34],"resolved":[36],"performance":[38,244],"would":[39],"be":[40,121],"dramatically":[41],"degraded":[42],"for":[43,86,147],"LR":[45,74,228],"real":[49],"environment.":[50],"Recently,":[51],"some":[52],"works":[53],"attempt":[54],"to":[55,81,102,112,120,129,141,185,197,209,214],"automatically":[56],"learn":[57,186],"kernel":[60,219],"priors":[61,188,217,220],"by":[62,153],"leveraging":[63],"local":[65,100,140,157,187,213],"statistic":[66],"modeling":[67,155],"capability":[68],"of":[69,125,254],"DCNNs":[71,95],"observation":[75],"only,":[76],"illustrated":[78],"feasibility":[80],"construct":[82],"a":[83,122,126,138,171,205],"specific":[84],"CNN":[85],"real-world":[87],"application.":[88],"The":[89],"basic":[90],"convolution":[91,160,178],"operation":[92],"can":[96],"potentially":[97],"capture":[98,198],"interaction":[101],"generate":[103],"plausible":[104],"appearance":[106],"but":[107],"are":[108],"far":[109],"sufficiency":[111],"achieve":[113],"global":[114,142,163,215],"context,":[115],"which":[116],"has":[117],"been":[118],"proven":[119],"promising":[123],"property":[124],"transformer":[127,166,191],"block,":[128],"further":[130],"boost":[131],"SR":[133,239,243],"performance.":[134],"This":[135],"study":[136],"proposes":[137],"cooperative":[139],"prior":[143],"learning":[144,211],"(LoGPT)":[145],"framework":[146],"blind":[148,238],"unsupervised":[149,223,249],"jointly":[154],"connectivity":[158],"with":[159,165,176,204],"operations":[161],"context":[164],"block.":[167],"Specifically,":[168],"we":[169],"elaborate":[170],"multi-scale":[172],"encoder-decoder":[173],"architecture":[174],"configuring":[175],"blocks":[179],"on":[180,193],"high":[182],"scales":[184,196],"while":[189],"block":[192],"long-range":[199],"dependencies,":[200],"then":[202],"incorporate":[203],"simple":[206],"convolution-based":[207],"subnet":[208],"simultaneously":[210],"an":[222],"way":[224],"using":[225],"observed":[227],"only.":[230],"Extensive":[231],"experiments":[232],"that":[235],"our":[236],"proposed":[237],"method":[240],"achieves":[241],"superior":[242],"over":[245],"both":[246],"supervised":[247],"state-of-the-art":[250],"methods":[251],"term":[253],"quantitative":[255],"metrics":[256],"perceptive":[258],"quality.":[259]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}