{"id":"https://openalex.org/W4403210311","doi":"https://doi.org/10.1109/access.2024.3476369","title":"TCSR: Lightweight Transformer and CNN Interaction Network for Image Super-Resolution","display_name":"TCSR: Lightweight Transformer and CNN Interaction Network for Image Super-Resolution","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403210311","doi":"https://doi.org/10.1109/access.2024.3476369"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3476369","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3476369","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3476369","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039614948","display_name":"Danlin Cai","orcid":"https://orcid.org/0000-0003-3083-5503"},"institutions":[{"id":"https://openalex.org/I169019527","display_name":"Quanzhou Normal University","ror":"https://ror.org/006ak0b38","country_code":"CN","type":"education","lineage":["https://openalex.org/I169019527"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danlin Cai","raw_affiliation_strings":["School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3083-5503","affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, China","institution_ids":["https://openalex.org/I169019527"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113965209","display_name":"Wenwen Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwen Tan","raw_affiliation_strings":["College of Engineering, Huaqiao University, Quanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103022313","display_name":"Feiyang Chen","orcid":"https://orcid.org/0000-0002-5834-5656"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyang Chen","raw_affiliation_strings":["College of Engineering, Huaqiao University, Quanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinchi Lou","orcid":null},"institutions":[{"id":"https://openalex.org/I169019527","display_name":"Quanzhou Normal University","ror":"https://ror.org/006ak0b38","country_code":"CN","type":"education","lineage":["https://openalex.org/I169019527"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinchi Lou","raw_affiliation_strings":["School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, China","institution_ids":["https://openalex.org/I169019527"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107820413","display_name":"Jianbin Xiahou","orcid":null},"institutions":[{"id":"https://openalex.org/I169019527","display_name":"Quanzhou Normal University","ror":"https://ror.org/006ak0b38","country_code":"CN","type":"education","lineage":["https://openalex.org/I169019527"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbin Xiahou","raw_affiliation_strings":["School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, China","institution_ids":["https://openalex.org/I169019527"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053699182","display_name":"Daxin Zhu","orcid":"https://orcid.org/0000-0002-8060-7368"},"institutions":[{"id":"https://openalex.org/I169019527","display_name":"Quanzhou Normal University","ror":"https://ror.org/006ak0b38","country_code":"CN","type":"education","lineage":["https://openalex.org/I169019527"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daxin Zhu","raw_affiliation_strings":["School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8060-7368","affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, China","institution_ids":["https://openalex.org/I169019527"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016074826","display_name":"Detian Huang","orcid":"https://orcid.org/0000-0002-8542-3728"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Detian Huang","raw_affiliation_strings":["College of Engineering, Huaqiao University, Quanzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8542-3728","affiliations":[{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, China","institution_ids":["https://openalex.org/I119045251"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.184,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81743918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"174782","last_page":"174795"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9718999862670898,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9718999862670898,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9650999903678894,"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":0.9298999905586243,"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":0.756371259689331},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6100637912750244},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.5163482427597046},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.41675305366516113},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39908939599990845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3593314290046692},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3334207832813263},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10608625411987305},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.0834115743637085},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06066042184829712}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.756371259689331},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6100637912750244},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.5163482427597046},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.41675305366516113},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39908939599990845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3593314290046692},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3334207832813263},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10608625411987305},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0834115743637085},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06066042184829712}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3476369","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3476369","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4380ee689eae43a0804e6dffcd6a168a","is_oa":true,"landing_page_url":"https://doaj.org/article/4380ee689eae43a0804e6dffcd6a168a","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":"IEEE Access, Vol 12, Pp 174782-174795 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3476369","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3476369","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2778883250","display_name":null,"funder_award_id":"61901183","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3518710709","display_name":null,"funder_award_id":"2023J01140","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2121058967","https://openalex.org/W2121927366","https://openalex.org/W2192954843","https://openalex.org/W2214802144","https://openalex.org/W2239879258","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2741137940","https://openalex.org/W2747898905","https://openalex.org/W2752782242","https://openalex.org/W2795024892","https://openalex.org/W2866634454","https://openalex.org/W2915130236","https://openalex.org/W2947156405","https://openalex.org/W2954930822","https://openalex.org/W2963372104","https://openalex.org/W2963645458","https://openalex.org/W2964101377","https://openalex.org/W2976718572","https://openalex.org/W3010250471","https://openalex.org/W3035022492","https://openalex.org/W3038124041","https://openalex.org/W3096609285","https://openalex.org/W3127751679","https://openalex.org/W3138516171","https://openalex.org/W3170026688","https://openalex.org/W3171125843","https://openalex.org/W3174531399","https://openalex.org/W3186984374","https://openalex.org/W3197776610","https://openalex.org/W3205936848","https://openalex.org/W3207918547","https://openalex.org/W4221147148","https://openalex.org/W4221153217","https://openalex.org/W4225672218","https://openalex.org/W4283785001","https://openalex.org/W4287020683","https://openalex.org/W4319300717","https://openalex.org/W4365128730","https://openalex.org/W4385245566","https://openalex.org/W4386075509","https://openalex.org/W4386083034","https://openalex.org/W4388283754","https://openalex.org/W4391305871","https://openalex.org/W4395061052","https://openalex.org/W6761511153","https://openalex.org/W6784094891","https://openalex.org/W6785306386","https://openalex.org/W6788135285","https://openalex.org/W6794295345","https://openalex.org/W6794906783","https://openalex.org/W6802154998"],"related_works":["https://openalex.org/W3216672236","https://openalex.org/W4250542427","https://openalex.org/W2216090681","https://openalex.org/W3046839381","https://openalex.org/W2755342338","https://openalex.org/W1982928226","https://openalex.org/W3028306740","https://openalex.org/W3004000015","https://openalex.org/W2559771220","https://openalex.org/W4288598071"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"network":[2,82],"(CNN)":[3],"has":[4,27],"achieved":[5],"impressive":[6],"success":[7],"in":[8,31,122],"lightweight":[9,32,52,77,100,138,196],"image":[10,84],"super-resolution":[11],"(SR)":[12],"methods,":[13],"yet":[14],"the":[15,22,44,90,119,129,153,181],"nature":[16],"of":[17,93,118,131],"its":[18,37],"local":[19,111],"operations":[20],"constrains":[21],"SR":[23,33,53],"performance.":[24],"Recent":[25],"Transformer":[26,58,78,94,101],"attracted":[28],"increasing":[29],"attention":[30],"methods":[34,54],"owing":[35],"to":[36,55,59,66,109,142,150,164],"remarkable":[38],"global":[39,61,113,172],"feature":[40],"extraction":[41],"capacity.":[42],"However,":[43],"huge":[45],"computational":[46,192],"cost":[47],"makes":[48],"it":[49],"challenging":[50],"for":[51,83],"efficiently":[56],"utilize":[57],"exploit":[60],"contextual":[62],"information":[63],"from":[64],"shallow":[65],"intermediate":[67],"layers.":[68],"To":[69],"address":[70],"these":[71],"issues,":[72],"we":[73,135,159],"propose":[74],"a":[75,137,161],"novel":[76],"and":[79,95,102,112,156,168,190],"CNN":[80,103],"interaction":[81],"Super-Resolution":[85],"(TCSR),":[86],"which":[87],"fully":[88],"leverages":[89],"complementary":[91],"strengths":[92],"CNN.":[96],"Specifically,":[97],"an":[98],"efficient":[99],"Interaction":[104],"Block":[105],"(TCIB)":[106],"is":[107],"designed":[108],"extract":[110],"features":[114,125,146],"at":[115],"various":[116],"stages":[117],"network,":[120],"resulting":[121],"favorable":[123],"hybrid":[124,145],"that":[126,180],"significantly":[127],"improve":[128],"quality":[130],"reconstructed":[132],"images.":[133],"Then,":[134],"construct":[136],"Reversed":[139],"UNet":[140],"(RUNet)":[141],"progressively":[143],"aggregate":[144],"as":[147,149],"well":[148],"better":[151],"trade-off":[152],"reconstruction":[154],"accuracy":[155],"efficiency.":[157],"Furthermore,":[158],"introduce":[160],"Refinement":[162],"module":[163],"further":[165],"refine":[166],"edge":[167],"texture":[169],"details":[170],"with":[171,187],"information.":[173],"Experimental":[174],"results":[175],"on":[176],"numerous":[177],"benchmarks":[178],"validate":[179],"proposed":[182],"TCSR":[183],"achieves":[184],"superior":[185],"performance":[186],"fewer":[188],"parameters":[189],"less":[191],"overhead":[193],"than":[194],"state-of-the-art":[195],"methods.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}