{"id":"https://openalex.org/W4402522215","doi":"https://doi.org/10.1142/s0218001424540156","title":"Image Super-Resolution Reconstruction Based on Dense Residual Attention and Multi-Scale Feature Fusion","display_name":"Image Super-Resolution Reconstruction Based on Dense Residual Attention and Multi-Scale Feature Fusion","publication_year":2024,"publication_date":"2024-09-13","ids":{"openalex":"https://openalex.org/W4402522215","doi":"https://doi.org/10.1142/s0218001424540156"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001424540156","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001424540156","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5089770959","display_name":"Jianguo Shi","orcid":"https://orcid.org/0000-0003-1591-2320"},"institutions":[{"id":"https://openalex.org/I70908550","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284","country_code":"CN","type":"education","lineage":["https://openalex.org/I70908550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguo Shi","raw_affiliation_strings":["School of Computer and Information, Anhui Polytechnic University Wuhu, Anhui 241000, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-1591-2320","affiliations":[{"raw_affiliation_string":"School of Computer and Information, Anhui Polytechnic University Wuhu, Anhui 241000, P. R. China","institution_ids":["https://openalex.org/I70908550"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yu Xiu","orcid":"https://orcid.org/0000-0002-3492-4354"},"institutions":[{"id":"https://openalex.org/I70908550","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284","country_code":"CN","type":"education","lineage":["https://openalex.org/I70908550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Xiu","raw_affiliation_strings":["School of Computer and Information, Anhui Polytechnic University Wuhu, Anhui 241000, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-3492-4354","affiliations":[{"raw_affiliation_string":"School of Computer and Information, Anhui Polytechnic University Wuhu, Anhui 241000, P. R. China","institution_ids":["https://openalex.org/I70908550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112360166","display_name":"Ganyi Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I70908550","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284","country_code":"CN","type":"education","lineage":["https://openalex.org/I70908550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ganyi Tang","raw_affiliation_strings":["School of Computer and Information, Anhui Polytechnic University Wuhu, Anhui 241000, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-2175-8422","affiliations":[{"raw_affiliation_string":"School of Computer and Information, Anhui Polytechnic University Wuhu, Anhui 241000, P. R. China","institution_ids":["https://openalex.org/I70908550"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I70908550"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24111183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"13","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9914000034332275,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9914000034332275,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9746000170707703,"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/T14158","display_name":"Optical Systems and Laser Technology","score":0.9365000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7907712459564209},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7150998115539551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6530110836029053},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6491686105728149},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5748355388641357},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.540097713470459},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5325825214385986},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5137683153152466},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47334861755371094},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.44045209884643555},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15320447087287903},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0772365927696228},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06122356653213501}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7907712459564209},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7150998115539551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6530110836029053},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6491686105728149},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5748355388641357},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.540097713470459},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5325825214385986},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5137683153152466},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47334861755371094},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.44045209884643555},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15320447087287903},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0772365927696228},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06122356653213501},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001424540156","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001424540156","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1974897896","https://openalex.org/W2062577170","https://openalex.org/W2109453625","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2263468737","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2741137940","https://openalex.org/W2752782242","https://openalex.org/W2866634454","https://openalex.org/W2884585870","https://openalex.org/W2916534787","https://openalex.org/W2954930822","https://openalex.org/W2963091558","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963606888","https://openalex.org/W2964101377","https://openalex.org/W2964325192","https://openalex.org/W2981722656","https://openalex.org/W2998474000"],"related_works":["https://openalex.org/W2972212393","https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,33,74,118],"obtain":[3],"super-resolution":[4,16],"images":[5,88],"with":[6],"richer":[7],"details":[8],"and":[9,22,56,61,78,85,93,104,111,141,144],"clearer":[10],"textures,":[11],"a":[12,148],"method":[13],"for":[14],"image":[15,46],"reconstruction":[17,130],"using":[18],"dense":[19,57],"residual":[20,58,70],"attention":[21,59],"multi-scale":[23,53],"fusion":[24,55],"is":[25,67],"proposed.":[26],"First,":[27],"different":[28],"scale":[29],"convolutions":[30],"are":[31,47,72,89,116],"used":[32,73],"fully":[34],"extract":[35],"shallow":[36,76],"features":[37,43,77,80],"of":[38,44,64,81,113,126],"the":[39,45,62,86,100,109,124,139,145],"image;":[40],"then":[41],"high-frequency":[42,79],"extracted":[48],"through":[49,91],"one":[50],"three-layer":[51],"cascaded":[52],"feature":[54,65],"module,":[60],"reuse":[63],"map":[66],"achieved;":[68],"finally,":[69],"branches":[71],"introduce":[75],"each":[82],"channel":[83],"image,":[84],"high-resolution":[87],"reconstructed":[90],"up-sampling":[92],"sub-pixel":[94],"convolution.":[95],"The":[96],"test":[97],"results":[98],"on":[99,138],"Set5,":[101],"Set14,":[102],"Bsd100,":[103],"Urban100":[105],"datasets":[106],"show":[107],"that":[108],"PSNR":[110,132],"SSIM":[112],"our":[114],"model":[115],"superior":[117],"most":[119],"current":[120],"algorithms,":[121],"especially":[122],"in":[123],"case":[125],"[Formula:":[127],"see":[128],"text]":[129],"results.":[131],"has":[133,147],"improved":[134],"by":[135],"0.2":[136],"dB":[137],"Set5":[140],"Bsd100":[142],"datasets,":[143],"algorithm":[146],"better":[149],"subjective":[150],"visual":[151],"effect.":[152]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}