{"id":"https://openalex.org/W4402765552","doi":"https://doi.org/10.3390/s24196174","title":"Dual-Path Large Kernel Learning and Its Applications in Single-Image Super-Resolution","display_name":"Dual-Path Large Kernel Learning and Its Applications in Single-Image Super-Resolution","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4402765552","doi":"https://doi.org/10.3390/s24196174","pmid":"https://pubmed.ncbi.nlm.nih.gov/39409214"},"language":"en","primary_location":{"id":"doi:10.3390/s24196174","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24196174","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/s24196174","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059567700","display_name":"Zhuanzhuan Su","orcid":"https://orcid.org/0009-0002-2393-3818"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Su","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":"https://orcid.org/0009-0002-2393-3818","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013911881","display_name":"Mang Sun","orcid":"https://orcid.org/0009-0004-0197-5296"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mang Sun","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":"https://orcid.org/0009-0004-0197-5296","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037836004","display_name":"He Jiang","orcid":"https://orcid.org/0000-0002-3345-9665"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"He Jiang","raw_affiliation_strings":["Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai 200240, China","School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":"https://orcid.org/0000-0002-3345-9665","affiliations":[{"raw_affiliation_string":"Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai 200240, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103397877","display_name":"Xiang Ma","orcid":"https://orcid.org/0009-0003-0655-9737"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Ma","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":"https://orcid.org/0009-0003-9310-5257","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603637","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0002-1360-2452"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013892048","display_name":"Chen Lv","orcid":"https://orcid.org/0000-0002-2079-9417"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Lv","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":"https://orcid.org/0000-0002-2079-9417","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051269393","display_name":"Qiqi Kou","orcid":"https://orcid.org/0000-0003-2873-2636"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiqi Kou","raw_affiliation_strings":["School of Computer Science, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":"https://orcid.org/0000-0003-2873-2636","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078848398","display_name":"Deqiang Cheng","orcid":"https://orcid.org/0000-0002-4475-845X"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deqiang Cheng","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":"https://orcid.org/0000-0002-4475-845X","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5013892048","https://openalex.org/A5037836004"],"corresponding_institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I25757504"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14951516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"19","first_page":"6174","last_page":"6174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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":0.9959999918937683,"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":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.7276967763900757},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5799798965454102},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5682838559150696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.514710009098053},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47228461503982544},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46479102969169617},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4258696436882019},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37894827127456665},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36703917384147644},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3291010856628418},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12822622060775757}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276967763900757},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5799798965454102},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5682838559150696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.514710009098053},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47228461503982544},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46479102969169617},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4258696436882019},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37894827127456665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36703917384147644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3291010856628418},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12822622060775757},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":4,"locations":[{"id":"doi:10.3390/s24196174","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24196174","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:39409214","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39409214","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11479036","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11479036","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:1fb3ab709c234020a3f521d9881d02f5","is_oa":true,"landing_page_url":"https://doaj.org/article/1fb3ab709c234020a3f521d9881d02f5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 19, p 6174 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24196174","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24196174","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G4332863609","display_name":null,"funder_award_id":"52204177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7131253125","display_name":null,"funder_award_id":"52304182","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"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/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2520164769","https://openalex.org/W2607041014","https://openalex.org/W2866634454","https://openalex.org/W2884585870","https://openalex.org/W2891158090","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2964125708","https://openalex.org/W2976718572","https://openalex.org/W3010250471","https://openalex.org/W3034552520","https://openalex.org/W3093960910","https://openalex.org/W3133531783","https://openalex.org/W3135592580","https://openalex.org/W3139422607","https://openalex.org/W3151637765","https://openalex.org/W3166909897","https://openalex.org/W3170026688","https://openalex.org/W3171125843","https://openalex.org/W4221153217","https://openalex.org/W4281670300","https://openalex.org/W4281719937","https://openalex.org/W4286373457","https://openalex.org/W4287020683","https://openalex.org/W4289639899","https://openalex.org/W4312395522","https://openalex.org/W4352977373","https://openalex.org/W4385346076","https://openalex.org/W4386076602","https://openalex.org/W4386609170","https://openalex.org/W4387186257","https://openalex.org/W4387350552","https://openalex.org/W4388543782","https://openalex.org/W4389619528","https://openalex.org/W4390575607","https://openalex.org/W4391795700","https://openalex.org/W4391919443","https://openalex.org/W4394600742","https://openalex.org/W6687483927","https://openalex.org/W6726381175","https://openalex.org/W6838831250","https://openalex.org/W6840930616"],"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/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W4391382578"],"abstract_inverted_index":{"To":[0,38],"enhance":[1],"the":[2,30,45,54,60,89,132,137,153,168,181,184,202],"performance":[3,84,98,197],"of":[4,22,32,47,56,160,183],"super-resolution":[5,190],"models,":[6],"neural":[7],"networks":[8],"frequently":[9],"employ":[10],"module":[11],"stacking.":[12],"However,":[13],"this":[14,40,42,141],"approach":[15],"inevitably":[16],"results":[17],"in":[18,111,140,147,187,201],"an":[19,93,158],"excessive":[20],"proliferation":[21],"parameter":[23,90],"counts":[24],"and":[25,99,117,163,171,198],"information":[26],"redundancy,":[27],"ultimately":[28],"constraining":[29],"deployment":[31],"these":[33],"models":[34],"on":[35,131],"mobile":[36],"devices.":[37],"surmount":[39],"limitation,":[41],"study":[43,142],"introduces":[44],"application":[46],"Dual-path":[48],"Large":[49],"Kernel":[50],"Learning":[51],"(DLKL)":[52],"to":[53,71,123],"task":[55],"image":[57,189],"super-resolution.":[58],"Within":[59],"DLKL":[61,107],"framework,":[62],"we":[63],"harness":[64],"a":[65,144],"multiscale":[66],"large":[67],"kernel":[68],"decomposition":[69],"technique":[70],"efficiently":[72],"establish":[73],"long-range":[74],"dependencies":[75],"among":[76],"pixels.":[77],"This":[78,175],"network":[79,97,138],"not":[80,178],"only":[81,179],"maintains":[82],"excellent":[83],"but":[85,192],"also":[86,193],"significantly":[87],"mitigates":[88],"burden,":[91],"achieving":[92],"optimal":[94],"balance":[95],"between":[96],"efficiency.":[100],"When":[101],"compared":[102,166],"with":[103,114,157,167],"other":[104],"prevalent":[105],"algorithms,":[106],"exhibits":[108],"remarkable":[109,176],"proficiency":[110],"generating":[112],"images":[113],"sharper":[115],"textures":[116],"structures":[118],"that":[119,130],"are":[120],"more":[121],"akin":[122],"natural":[124],"ones.":[125],"It":[126],"is":[127],"particularly":[128],"noteworthy":[129],"challenging":[133],"texture":[134],"dataset":[135],"Urban100,":[136],"proposed":[139],"achieved":[143],"significant":[145],"improvement":[146],"Peak":[148],"Signal-to-Noise":[149],"Ratio":[150],"(PSNR)":[151],"for":[152],"\u00d74":[154],"upscaling":[155],"task,":[156],"increase":[159],"0.32":[161],"dB":[162,165],"0.19":[164],"state-of-the-art":[169],"HAFRN":[170],"MICU":[172],"networks,":[173],"respectively.":[174],"result":[177],"validates":[180],"effectiveness":[182],"present":[185],"model":[186],"complex":[188],"tasks":[191],"highlights":[194],"its":[195],"superior":[196],"unique":[199],"advantages":[200],"field.":[203]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}