{"id":"https://openalex.org/W4403277571","doi":"https://doi.org/10.1109/lsp.2024.3477298","title":"Edge-Aware Attention Transformer for Image Super-Resolution","display_name":"Edge-Aware Attention Transformer for Image Super-Resolution","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403277571","doi":"https://doi.org/10.1109/lsp.2024.3477298"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3477298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3477298","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5028229824","display_name":"Haoqian Wang","orcid":"https://orcid.org/0000-0003-2792-8469"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoqian Wang","raw_affiliation_strings":["College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014468145","display_name":"Zhongyang Xing","orcid":"https://orcid.org/0000-0002-4091-8399"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyang Xing","raw_affiliation_strings":["College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049494860","display_name":"Zhongjie Xu","orcid":"https://orcid.org/0000-0002-6307-8425"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongjie Xu","raw_affiliation_strings":["College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059474979","display_name":"Xiangai Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangai Cheng","raw_affiliation_strings":["College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":null,"display_name":"Teng Li","orcid":"https://orcid.org/0000-0002-5175-0819"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Teng Li","raw_affiliation_strings":["College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5175-0819","affiliations":[{"raw_affiliation_string":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.6489,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66488013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"31","issue":null,"first_page":"2905","last_page":"2909"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9965999722480774,"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":0.9965999722480774,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9945999979972839,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computer-science","display_name":"Computer science","score":0.6046939492225647},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5838284492492676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5260857343673706},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.46802741289138794},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4579876661300659},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.13162276148796082},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11615067720413208},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09371113777160645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6046939492225647},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5838284492492676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5260857343673706},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.46802741289138794},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4579876661300659},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.13162276148796082},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11615067720413208},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09371113777160645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3477298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3477298","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5265996472","display_name":null,"funder_award_id":"12204541","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1532834174","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W1963623641","https://openalex.org/W2047920195","https://openalex.org/W2087380704","https://openalex.org/W2097074225","https://openalex.org/W2121927366","https://openalex.org/W2192954843","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2613155248","https://openalex.org/W2741137940","https://openalex.org/W2866634454","https://openalex.org/W2954930822","https://openalex.org/W2963372104","https://openalex.org/W3013529009","https://openalex.org/W3096739052","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3171125843","https://openalex.org/W3174531399","https://openalex.org/W3207918547","https://openalex.org/W4293704603","https://openalex.org/W4321232185","https://openalex.org/W4385245566","https://openalex.org/W4385815481","https://openalex.org/W4402753495","https://openalex.org/W4402916545","https://openalex.org/W6631190155","https://openalex.org/W6736170873","https://openalex.org/W6756800942","https://openalex.org/W6779778204","https://openalex.org/W6784333009","https://openalex.org/W6838529300","https://openalex.org/W6838806431","https://openalex.org/W6840201148","https://openalex.org/W6850411597"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"In":[0,83],"this":[1,84],"study,":[2],"we":[3,86],"explore":[4],"poor":[5],"edge":[6,18,81,96,116],"reconstruction":[7,97],"in":[8,80],"image":[9],"super-resolution":[10],"(SR)":[11],"tasks,":[12],"emphasizing":[13],"the":[14,42,55,74,100,145],"significance":[15],"of":[16,44,77],"enhancing":[17],"details":[19],"identified":[20],"through":[21,70],"visual":[22,137],"analysis.":[23],"Existing":[24],"SR":[25,50,65],"networks":[26],"typically":[27],"optimize":[28],"their":[29],"network":[30],"architectures,":[31],"enabling":[32],"complete":[33],"feature":[34,37,57,119],"extraction":[35,58],"from":[36],"maps.":[38],"This":[39,143],"is":[40,51,155],"because":[41],"management":[43],"spatial":[45],"and":[46,66,136],"channel":[47],"information":[48,105],"during":[49],"often":[52],"pivotal":[53],"to":[54,113,124,150],"network's":[56],"capacity.":[59],"Despite":[60],"continuous":[61],"improvements,":[62],"directly":[63],"comparing":[64],"high-resolution":[67],"(HR)":[68],"images":[69],"differential":[71],"mapping":[72],"reveals":[73],"suboptimal":[75],"performance":[76],"these":[78],"methods":[79],"reconstruction.":[82],"paper,":[85],"introduce":[87],"a":[88],"edgey-aware":[89],"attention":[90],"transformer":[91],"(EAT),":[92],"which":[93,139],"focuses":[94],"on":[95],"while":[98],"maintaining":[99],"effective":[101],"original":[102],"low":[103],"frequency":[104],"retrieval.":[106],"Our":[107],"framework":[108],"utilizes":[109],"deformable":[110],"convolution":[111],"(DC)":[112],"adaptively":[114],"extract":[115],"features.":[117,127],"Then":[118],"enhancement":[120],"techniques":[121],"are":[122],"employed":[123],"intensify":[125],"edge-sensitive":[126],"Furthermore,":[128],"extensive":[129],"experiments":[130],"demonstrate":[131],"our":[132],"EAT's":[133,146],"exceptional":[134],"quantitative":[135],"results,":[138],"surpass":[140],"most":[141],"benchmarks.":[142],"validates":[144],"effectiveness":[147],"when":[148],"compared":[149],"state-of-the-art":[151],"models.":[152],"The":[153],"code":[154],"available":[156],"athttps://github.com/ImWangHaoqian/EAT.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}