{"id":"https://openalex.org/W4387754099","doi":"https://doi.org/10.1109/icnc-fskd59587.2023.10281002","title":"Multi-scale Super-resolution Image Reconstruction based on Visual Feature and Scale Feature Transformation","display_name":"Multi-scale Super-resolution Image Reconstruction based on Visual Feature and Scale Feature Transformation","publication_year":2023,"publication_date":"2023-07-29","ids":{"openalex":"https://openalex.org/W4387754099","doi":"https://doi.org/10.1109/icnc-fskd59587.2023.10281002"},"language":"en","primary_location":{"id":"doi:10.1109/icnc-fskd59587.2023.10281002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc-fskd59587.2023.10281002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-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/A5115595532","display_name":"Lili Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lili Liang","raw_affiliation_strings":["Xi&#x2019;an University of Technology,School of Automation and Information Engineering,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Technology,School of Automation and Information Engineering,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114036400","display_name":"Di Miao","orcid":"https://orcid.org/0009-0008-5381-9198"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Miao","raw_affiliation_strings":["Xi&#x2019;an University of Technology,School of Automation and Information Engineering,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Technology,School of Automation and Information Engineering,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100785901","display_name":"Meng Han","orcid":"https://orcid.org/0000-0001-7472-0842"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Meng","raw_affiliation_strings":["Xi&#x2019;an University of Technology,School of Automation and Information Engineering,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Technology,School of Automation and Information Engineering,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5115595532"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":0.1228,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42575583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9958000183105469,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9937999844551086,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7876368761062622},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7020704746246338},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6690998673439026},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6465741991996765},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.621394157409668},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5565620064735413},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5452625155448914},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.519647479057312},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4901503026485443},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4118522107601166}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7876368761062622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7020704746246338},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6690998673439026},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6465741991996765},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.621394157409668},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5565620064735413},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5452625155448914},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.519647479057312},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4901503026485443},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4118522107601166},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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:10.1109/icnc-fskd59587.2023.10281002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc-fskd59587.2023.10281002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8399999737739563,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1885185971","https://openalex.org/W2016482162","https://openalex.org/W2100223344","https://openalex.org/W2158263736","https://openalex.org/W2242218935","https://openalex.org/W2380108335","https://openalex.org/W2891158090","https://openalex.org/W2963031226","https://openalex.org/W2963182372","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2964101377","https://openalex.org/W3002804910","https://openalex.org/W3011456574","https://openalex.org/W3034247386","https://openalex.org/W3035178397","https://openalex.org/W3083579885","https://openalex.org/W3118549149","https://openalex.org/W4372342314","https://openalex.org/W6637373629","https://openalex.org/W6675345942","https://openalex.org/W6686858778","https://openalex.org/W6754405603","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2353644209","https://openalex.org/W2593663830","https://openalex.org/W2348743188","https://openalex.org/W2977677679","https://openalex.org/W2902317490","https://openalex.org/W1992327129","https://openalex.org/W2463239216","https://openalex.org/W4387423451","https://openalex.org/W2537408670"],"abstract_inverted_index":{"Aiming":[0],"at":[1,146],"the":[2,13,31,35,42,45,49,57,68,81,89,92,103,107,119,137,152],"shortcomings":[3],"of":[4,12,106],"fixed":[5],"scale":[6,36,50,63],"and":[7,34,55,65,133,159],"neglecting":[8],"human":[9,120],"visual":[10,32,104,121,161],"characteristics":[11],"existing":[14],"deep":[15,59,90],"learning-based":[16],"super-resolution":[17,144],"image":[18,154],"reconstruction":[19],"(SRIR)":[20],"methods,":[21,44],"this":[22],"paper":[23],"proposes":[24],"a":[25,72,110],"multi-scale":[26,82],"SRIR":[27],"model":[28,47,139],"based":[29],"on":[30,126],"feature":[33,37],"transformation":[38],"(SFT).":[39],"Different":[40],"from":[41],"traditional":[43],"proposed":[46,138],"takes":[48],"factor":[51],"as":[52,130],"input":[53],"parameter,":[54],"obtains":[56],"corresponding":[58],"features":[60],"by":[61],"applying":[62],"extension":[64],"SFT":[66],"to":[67,78],"backbone":[69],"network.":[70],"Meanwhile":[71],"weight":[73],"prediction":[74],"module":[75],"is":[76,115],"constructed":[77,116],"dynamically":[79],"learn":[80],"up-sampling":[83],"filters.":[84],"By":[85],"multiplying":[86],"them":[87],"with":[88,94],"features,":[91],"images":[93,145],"different":[95,147],"super-resolutions":[96],"are":[97],"accordingly":[98],"reconstructed.":[99],"To":[100],"further":[101],"improve":[102],"effect":[105],"reconstructed":[108,153],"images,":[109],"frequency":[111],"division-based":[112],"loss":[113],"function":[114],"which":[117],"matches":[118],"perception":[122],"well.":[123],"Experimental":[124],"results":[125],"several":[127],"datasets":[128],"such":[129],"Set14,":[131],"Urban100":[132],"General100":[134],"indicate":[135],"that":[136],"can":[140],"not":[141],"only":[142],"obtain":[143],"scales,":[148],"but":[149],"also":[150],"make":[151],"have":[155],"more":[156],"clear":[157],"details":[158],"better":[160],"effect.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
