{"id":"https://openalex.org/W7127408422","doi":"https://doi.org/10.1109/tip.2026.3653547","title":"Incorporating Uncertainty-Guided and Top-k Codebook Matching for Real-World Blind Image Super-Resolution","display_name":"Incorporating Uncertainty-Guided and Top-k Codebook Matching for Real-World Blind Image Super-Resolution","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7127408422","doi":"https://doi.org/10.1109/tip.2026.3653547","pmid":"https://pubmed.ncbi.nlm.nih.gov/41632650"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2026.3653547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3653547","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5032822804","display_name":"Weilei Wen","orcid":"https://orcid.org/0000-0003-1902-9201"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weilei Wen","raw_affiliation_strings":["Department of Computer Science, College of Mathematics and Computer, Shantou University, Shantou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Mathematics and Computer, Shantou University, Shantou, Guangdong, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124911628","display_name":"Tianyi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyi Zhang","raw_affiliation_strings":["VCIP, College of Computer Science, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081086505","display_name":"Qianqian Zhao","orcid":"https://orcid.org/0000-0001-7405-3349"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Zhao","raw_affiliation_strings":["VCIP, College of Computer Science, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101740169","display_name":"Zhaohui Zheng","orcid":"https://orcid.org/0000-0002-7664-2363"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohui Zheng","raw_affiliation_strings":["VCIP, College of Computer Science, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120725893","display_name":"Chunle Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunle Guo","raw_affiliation_strings":["VCIP, College of Computer Science, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124970429","display_name":"Xiuli Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuli Shao","raw_affiliation_strings":["VCIP, College of Computer Science, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069966744","display_name":"Chongyi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongyi Li","raw_affiliation_strings":["VCIP, College of Computer Science, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5032822804"],"corresponding_institution_ids":["https://openalex.org/I32574673"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25396584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"1535","last_page":"1550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9871000051498413,"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":0.9871000051498413,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.004100000020116568,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.002300000051036477,"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/codebook","display_name":"Codebook","score":0.9567000269889832},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6657000184059143},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6362000107765198},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5945000052452087},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5264000296592712},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5131999850273132},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4796000123023987},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.42579999566078186},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.40799999237060547}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.9567000269889832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7867000102996826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7014999985694885},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6657000184059143},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6362000107765198},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5945000052452087},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.579800009727478},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5264000296592712},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5131999850273132},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4796000123023987},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.42579999566078186},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.40799999237060547},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.4065000116825104},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.35589998960494995},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.34630000591278076},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.34529998898506165},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.33970001339912415},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3337000012397766},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.320499986410141},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.3073999881744385},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.27880001068115234},{"id":"https://openalex.org/C153207627","wikidata":"https://www.wikidata.org/wiki/Q863873","display_name":"Code word","level":3,"score":0.27239999175071716},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.26739999651908875},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.2578999996185303},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2026.3653547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3653547","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:41632650","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41632650","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6087815761566162}],"awards":[{"id":"https://openalex.org/G2190731934","display_name":null,"funder_award_id":"NTF25025T","funder_id":"https://openalex.org/F4320321116","funder_display_name":"Academy of Scientific Research and Technology"},{"id":"https://openalex.org/G6785956370","display_name":null,"funder_award_id":"62225604","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8616333460","display_name":null,"funder_award_id":"62306153","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/F4320321116","display_name":"Academy of Scientific Research and Technology","ror":"https://ror.org/02k284p70"},{"id":"https://openalex.org/F4320336801","display_name":"Rubber Research and Development Institute","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2059875884","https://openalex.org/W2102166818","https://openalex.org/W2119512810","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2192954843","https://openalex.org/W2739757502","https://openalex.org/W2741137940","https://openalex.org/W2866634454","https://openalex.org/W2950689937","https://openalex.org/W2954930822","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W2963372104","https://openalex.org/W2963881378","https://openalex.org/W2964101377","https://openalex.org/W2984006054","https://openalex.org/W3007447735","https://openalex.org/W3012118477","https://openalex.org/W3017136408","https://openalex.org/W3035376925","https://openalex.org/W3096739052","https://openalex.org/W3096831136","https://openalex.org/W3155072588","https://openalex.org/W3180355996","https://openalex.org/W3180391059","https://openalex.org/W3203631022","https://openalex.org/W3203700770","https://openalex.org/W3204971388","https://openalex.org/W3207918547","https://openalex.org/W3217619324","https://openalex.org/W4223483730","https://openalex.org/W4225576932","https://openalex.org/W4225672218","https://openalex.org/W4283831644","https://openalex.org/W4285606127","https://openalex.org/W4295866171","https://openalex.org/W4312400623","https://openalex.org/W4312763936","https://openalex.org/W4312933868","https://openalex.org/W4320013936","https://openalex.org/W4382462760","https://openalex.org/W4386075800","https://openalex.org/W4386083159","https://openalex.org/W4388185355","https://openalex.org/W4390872512","https://openalex.org/W4390872911","https://openalex.org/W4390874190","https://openalex.org/W4393155853","https://openalex.org/W4401113417","https://openalex.org/W4402727835","https://openalex.org/W4402754171"],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,12,122],"codebook-based":[3],"real":[4],"image":[5,21,30],"super-resolution":[6],"(SR)":[7],"have":[8],"shown":[9],"promising":[10],"results":[11,118],"real-world":[13],"applications.":[14],"The":[15,132],"core":[16],"idea":[17],"involves":[18],"matching":[19,41,89,94],"high-quality":[20],"features":[22],"from":[23],"a":[24,56,86],"codebook":[25,44],"based":[26],"on":[27,82],"low-resolution":[28],"(LR)":[29],"features.":[31,116],"However,":[32],"existing":[33,130],"methods":[34],"face":[35],"two":[36],"major":[37],"challenges:":[38],"inaccurate":[39],"feature":[40,88,93],"with":[42],"the":[43,78,108],"and":[45,59,101,114,125],"poor":[46],"texture":[47,123],"detail":[48],"reconstruction.":[49],"To":[50],"address":[51],"these":[52],"issues,":[53],"we":[54],"propose":[55],"novel":[57],"Uncertainty-Guided":[58],"Top-k":[60,87],"Codebook":[61],"Matching":[62],"SR":[63],"(UGTSR)":[64],"framework,":[65],"which":[66],"incorporates":[67],"three":[68],"key":[69],"components:":[70],"1)":[71],"an":[72,103],"uncertainty":[73],"learning":[74],"mechanism":[75],"that":[76,91,106],"guides":[77],"model":[79],"to":[80,129],"focus":[81],"texture-rich":[83],"regions,":[84],"2)":[85],"strategy":[90],"enhances":[92,107],"accuracy":[95],"by":[96],"fusing":[97],"multiple":[98],"candidate":[99],"features,":[100],"3)":[102],"Align-Attention":[104],"module":[105],"alignment":[109],"of":[110],"information":[111],"between":[112],"LR":[113],"HR":[115],"Experimental":[117],"demonstrate":[119],"significant":[120],"improvements":[121],"realism":[124],"reconstruction":[126],"fidelity":[127],"compared":[128],"methods.":[131],"source":[133],"code":[134],"can":[135],"be":[136],"found":[137],"at":[138],"https://github.com/wwlCape/UGTSR-main.":[139]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-02-04T00:00:00"}
