{"id":"https://openalex.org/W4391259192","doi":"https://doi.org/10.1007/s11042-024-18274-0","title":"KernelFlexSR: a self-adaptive super-resolution algorithm with multi-path convolution and residual network for dynamic kernel enhancement","display_name":"KernelFlexSR: a self-adaptive super-resolution algorithm with multi-path convolution and residual network for dynamic kernel enhancement","publication_year":2024,"publication_date":"2024-01-26","ids":{"openalex":"https://openalex.org/W4391259192","doi":"https://doi.org/10.1007/s11042-024-18274-0"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-024-18274-0","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s11042-024-18274-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-024-18274-0.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11042-024-18274-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016108670","display_name":"Haotian Zhang","orcid":"https://orcid.org/0000-0001-6586-6938"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Haotian Zhang","raw_affiliation_strings":["The Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034461873","display_name":"Long Teng","orcid":"https://orcid.org/0000-0003-4853-3255"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Long Teng","raw_affiliation_strings":["The Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101409276","display_name":"Youyi Wang","orcid":"https://orcid.org/0000-0001-8394-6931"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Youyi Wang","raw_affiliation_strings":["The School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"The School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008104043","display_name":"Hang Qu","orcid":"https://orcid.org/0000-0003-4263-0505"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Qu","raw_affiliation_strings":["Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China"],"affiliations":[{"raw_affiliation_string":"Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065431725","display_name":"Chak Yin Tang","orcid":"https://orcid.org/0000-0003-2577-024X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chak-yin Tang","raw_affiliation_strings":["The Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016108670"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00726975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"83","issue":"26","first_page":"68773","last_page":"68791"},"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":0.9932000041007996,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9927999973297119,"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":0.8979151248931885},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.700564980506897},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6225075125694275},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6142509579658508},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5891931653022766},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5530776977539062},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.504970133304596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36464762687683105},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07623308897018433},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07272413372993469},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.05774545669555664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8979151248931885},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.700564980506897},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6225075125694275},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6142509579658508},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5891931653022766},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5530776977539062},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.504970133304596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36464762687683105},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07623308897018433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07272413372993469},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.05774545669555664},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11042-024-18274-0","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s11042-024-18274-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-024-18274-0.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/179997","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-024-18274-0","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/108255","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/108255","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/108255/1/s11042-024-18274-0.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"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":null,"raw_type":"Journal/Magazine Article"}],"best_oa_location":{"id":"doi:10.1007/s11042-024-18274-0","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s11042-024-18274-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-024-18274-0.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391259192.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1930824406","https://openalex.org/W1985806826","https://openalex.org/W2005073772","https://openalex.org/W2044656938","https://openalex.org/W2045526807","https://openalex.org/W2047920195","https://openalex.org/W2064076387","https://openalex.org/W2085440994","https://openalex.org/W2095434499","https://openalex.org/W2107461197","https://openalex.org/W2136922672","https://openalex.org/W2183182206","https://openalex.org/W2332698925","https://openalex.org/W2476548250","https://openalex.org/W2478454054","https://openalex.org/W2503339013","https://openalex.org/W2607041014","https://openalex.org/W2741137940","https://openalex.org/W2747898905","https://openalex.org/W2891158090","https://openalex.org/W2896155169","https://openalex.org/W2918674988","https://openalex.org/W2963037581","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963610452","https://openalex.org/W2964101377","https://openalex.org/W2971513790","https://openalex.org/W3008297311","https://openalex.org/W3010250471","https://openalex.org/W3035022492","https://openalex.org/W3035302306","https://openalex.org/W3128854684","https://openalex.org/W3182416397","https://openalex.org/W3204971388","https://openalex.org/W4234824722","https://openalex.org/W4245766349"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W4386858688","https://openalex.org/W3034421924","https://openalex.org/W2982536526","https://openalex.org/W4380302312","https://openalex.org/W4390971171","https://openalex.org/W4385338604"],"abstract_inverted_index":{"Abstract":[0],"Machine":[1],"learning-based":[2],"image":[3,86,103,129,215],"super-resolution":[4,104],"(SR)":[5],"has":[6],"garnered":[7],"increasing":[8],"research":[9],"interest":[10],"in":[11,50,236],"recent":[12],"years.":[13],"However,":[14],"there":[15],"are":[16],"two":[17,227],"issues":[18],"that":[19,29,64,159,206],"have":[20],"not":[21],"been":[22],"adequately":[23],"addressed.":[24],"The":[25,60],"first":[26,80],"issue":[27,62],"is":[28,46,63],"existing":[30],"SR":[31,52,197,234],"methods":[32],"often":[33],"overlook":[34],"the":[35,39,42,56,72,79,96,128,132,135,152,160,169,182,213,226],"importance":[36],"of":[37,41,55,134,151,212,238],"improving":[38],"quality":[40,171],"training":[43,57,92],"dataset,":[44],"which":[45,230],"a":[47,84,101,108,113,139,144],"crucial":[48],"factor":[49],"determining":[51],"performance,":[53],"regardless":[54],"method":[58,88,164,180,208,223],"employed.":[59],"second":[61,97],"while":[65],"some":[66],"studies":[67],"report":[68],"high":[69],"numerical":[70],"metrics,":[71],"visual":[73,170],"results":[74,157],"remain":[75],"unsatisfactory.":[76],"To":[77,94],"address":[78],"problem,":[81,98],"we":[82,99,117],"propose":[83],"new":[85,102],"down-sampling":[87],"to":[89,124,142,147,173,194,232],"obtain":[90],"higher-quality":[91],"datasets.":[93],"tackle":[95],"present":[100],"model":[105,146],"based":[106,130],"on":[107,131],"large-size":[109,121],"convolution":[110],"kernel":[111,123],"and":[112,138,188,216,241],"multi-path":[114],"algorithm.":[115],"Specifically,":[116],"use":[118],"an":[119],"adaptive":[120],"convolutional":[122],"extract":[125],"features":[126],"from":[127],"size":[133],"input":[136,154],"image,":[137],"residual":[140],"network":[141],"generate":[143],"deeper":[145],"retain":[148],"more":[149,210],"details":[150,211],"original":[153,214],"image.":[155],"Experimental":[156],"demonstrate":[158],"proposed":[161,179,222],"multilayer":[162],"downsampling":[163,175],"(MDM)":[165],"can":[166],"significantly":[167],"improve":[168],"compared":[172,193],"traditional":[174],"methods.":[176],"Moreover,":[177],"our":[178,207],"achieves":[181],"best":[183],"peak":[184],"signal-to-noise":[185],"ratio":[186],"(PSNR)":[187],"structural":[189],"similarity":[190],"(SSIM)":[191],"values":[192],"several":[195],"typical":[196],"algorithms.":[198],"Furthermore,":[199],"subjective":[200],"evaluation":[201],"by":[202],"human":[203],"observers":[204],"reveals":[205],"retains":[209],"produces":[217],"smoother":[218],"high-resolution":[219],"images.":[220],"Our":[221],"effectively":[224],"addresses":[225],"aforementioned":[228],"issues,":[229],"leads":[231],"improved":[233],"performance":[235],"terms":[237],"both":[239],"quantitative":[240],"qualitative":[242],"measures.":[243]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
