{"id":"https://openalex.org/W7139013517","doi":"https://doi.org/10.1109/jiot.2026.3675658","title":"SafaSR: An Arbitrary-Scale Image Super-Resolution Network Based on Multidomain Feature Fusion for Enhancing Diverse IoT Vision","display_name":"SafaSR: An Arbitrary-Scale Image Super-Resolution Network Based on Multidomain Feature Fusion for Enhancing Diverse IoT Vision","publication_year":2026,"publication_date":"2026-03-19","ids":{"openalex":"https://openalex.org/W7139013517","doi":"https://doi.org/10.1109/jiot.2026.3675658"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2026.3675658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3675658","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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":null,"display_name":"Jing Fang","orcid":"https://orcid.org/0000-0002-4767-4817"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Fang","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University (NPU), Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-4767-4817","affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University (NPU), Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087622786","display_name":"Yinbo Yu","orcid":"https://orcid.org/0000-0002-0257-5081"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinbo Yu","raw_affiliation_strings":["Shenzhen Research Institute of Northwestern Polytechnical University, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-0257-5081","affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Northwestern Polytechnical University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129952767","display_name":"Chunwei Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210161462","display_name":"Heilongjiang Institute of Technology","ror":"https://ror.org/05x0m9n95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210161462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunwei Tian","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China"],"raw_orcid":"https://orcid.org/0000-0002-6058-5077","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I4210161462","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129914021","display_name":"Liang He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang He","raw_affiliation_strings":["School of Software, NPU, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-9973-356X","affiliations":[{"raw_affiliation_string":"School of Software, NPU, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I4210141776"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jiajia Liu","orcid":"https://orcid.org/0000-0003-4273-8866"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajia Liu","raw_affiliation_strings":["School of Cybersecurity, Northwestern Polytechnical University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0003-4273-8866","affiliations":[{"raw_affiliation_string":"School of Cybersecurity, Northwestern Polytechnical University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27530004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"11","first_page":"25004","last_page":"25015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.49950000643730164,"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":0.49950000643730164,"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":0.4447999894618988,"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/T11019","display_name":"Image Enhancement Techniques","score":0.009499999694526196,"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/feature","display_name":"Feature (linguistics)","score":0.692799985408783},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.628000020980835},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5479000210762024},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5220999717712402},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5015000104904175},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4546000063419342},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4284000098705292},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.39149999618530273},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38989999890327454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8489000201225281},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.692799985408783},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.628000020980835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6118000149726868},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5479000210762024},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5220999717712402},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5015000104904175},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4546000063419342},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4284000098705292},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.39149999618530273},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38989999890327454},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.364300012588501},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.35429999232292175},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3346000015735626},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32280001044273376},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.30070000886917114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29980000853538513},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.2842000126838684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28130000829696655},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2800000011920929},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C114563136","wikidata":"https://www.wikidata.org/wiki/Q19725982","display_name":"Network planning and design","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2026.3675658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3675658","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6716508269309998,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G4055086086","display_name":null,"funder_award_id":"2025A1515011112","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G4592966228","display_name":null,"funder_award_id":"62202387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5791750035","display_name":null,"funder_award_id":"2025A1515011112","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322438","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,119],"substantial":[1],"heterogeneity":[2],"in":[3,27,88,155],"energy":[4],"and":[5,32,116,159,170],"communication":[6],"protocols":[7],"among":[8],"IoT":[9,66],"devices":[10],"leads":[11],"to":[12,126],"highly":[13],"diversified":[14],"image":[15,76,152],"resolutions,":[16],"which":[17,61,99],"severely":[18],"constrain":[19],"the":[20,45,149,163],"reliability":[21],"of":[22,138,157],"downstream":[23],"visual":[24],"analysis":[25],"tasks":[26],"applications":[28],"like":[29],"intelligent":[30],"transportation":[31],"smart":[33],"buildings.":[34],"While":[35],"recent":[36],"deep":[37],"learning-based":[38],"SR":[39,153],"methods":[40],"have":[41],"achieved":[42],"remarkable":[43],"success,":[44],"majority":[46],"are":[47],"typically":[48],"designed":[49,125],"for":[50,58,64],"specific":[51],"integer":[52],"scaling":[53],"factors,":[54],"requiring":[55],"separate":[56],"models":[57],"different":[59,130],"scales,":[60],"is":[62,100,124],"impractical":[63],"real-world":[65],"applications.":[67],"To":[68],"address":[69],"this,":[70],"we":[71],"propose":[72],"SafaSR,":[73],"an":[74],"arbitrary-scale":[75],"super-resolution":[77],"network":[78,147,168],"based":[79],"on":[80,162],"multi-domain":[81],"feature":[82,105,131],"fusion.":[83],"Our":[84],"key":[85],"innovation":[86],"lies":[87],"a":[89,103,134],"Multi-domain":[90],"Multi-level":[91],"Feature":[92],"Fusion":[93],"<italic":[94,120],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[95,121],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">(M<sup>2</sup>F<sup/>2":[96],")</i>":[97],"mechanism,":[98],"driven":[101],"by":[102],"scale-aware":[104],"learning":[106],"(SFL)":[107],"model":[108],"that":[109,144],"adaptively":[110],"extracts":[111],"features":[112],"from":[113],"both":[114],"spatial":[115],"frequency":[117],"domains.":[118],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">M<sup>2</sup>F<sup>2</sup></i>":[122],"mechanism":[123],"reduce":[127],"correlations":[128],"between":[129],"domains,":[132],"allowing":[133],"more":[135],"effective":[136],"integration":[137],"complementary":[139],"information.":[140],"Extensive":[141],"experiments":[142],"show":[143],"our":[145],"proposed":[146],"outperforms":[148],"most":[150],"advanced":[151],"algorithms":[154],"terms":[156],"PSNR":[158],"SSIM":[160],"metrics":[161],"benchmark":[164],"datasets,":[165],"with":[166],"fewer":[167],"parameters":[169],"less":[171],"runtime.":[172]},"counts_by_year":[],"updated_date":"2026-05-23T06:10:36.450269","created_date":"2026-03-20T00:00:00"}