{"id":"https://openalex.org/W4402593416","doi":"https://doi.org/10.1109/icce-taiwan62264.2024.10674351","title":"Lightweight Super-Resolution: Combining FSRCNN and Inception for Efficient Improvement","display_name":"Lightweight Super-Resolution: Combining FSRCNN and Inception for Efficient Improvement","publication_year":2024,"publication_date":"2024-07-09","ids":{"openalex":"https://openalex.org/W4402593416","doi":"https://doi.org/10.1109/icce-taiwan62264.2024.10674351"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan62264.2024.10674351","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce-taiwan62264.2024.10674351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","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/A5074875408","display_name":"Yee-Ming Ooi","orcid":"https://orcid.org/0000-0002-0697-0919"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yee-Ming Ooi","raw_affiliation_strings":["Feng Chia University,Department of Information Engineering and Computer Science,Taichung City,Taiwan R.O.C"],"affiliations":[{"raw_affiliation_string":"Feng Chia University,Department of Information Engineering and Computer Science,Taichung City,Taiwan R.O.C","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104188222","display_name":"Chiao-Ming Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chiao-Ming Chang","raw_affiliation_strings":["Feng Chia University,Department of Information Engineering and Computer Science,Taichung City,Taiwan R.O.C"],"affiliations":[{"raw_affiliation_string":"Feng Chia University,Department of Information Engineering and Computer Science,Taichung City,Taiwan R.O.C","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102310695","display_name":"Che\u2010Cheng Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Che-Cheng Chang","raw_affiliation_strings":["Feng Chia University,Department of Information Engineering and Computer Science,Taichung City,Taiwan R.O.C"],"affiliations":[{"raw_affiliation_string":"Feng Chia University,Department of Information Engineering and Computer Science,Taichung City,Taiwan R.O.C","institution_ids":["https://openalex.org/I4880106"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074875408"],"corresponding_institution_ids":["https://openalex.org/I4880106"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15471905,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"133","last_page":"134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9961000084877014,"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":0.9961000084877014,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9904000163078308,"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":0.987500011920929,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5787585973739624},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4187275469303131},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2045477330684662}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5787585973739624},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4187275469303131},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2045477330684662}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan62264.2024.10674351","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce-taiwan62264.2024.10674351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W2097117768","https://openalex.org/W2183341477","https://openalex.org/W2503339013","https://openalex.org/W2741137940"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"For":[0],"many":[1],"applications":[2],"of":[3,44,60],"computer":[4],"vision,":[5],"there":[6],"is":[7],"a":[8,21],"constant":[9],"demand":[10],"for":[11,25],"high-quality":[12],"reproductions":[13],"from":[14],"their":[15],"originals.":[16],"However,":[17],"this":[18,53],"often":[19],"accompanies":[20],"cost:":[22],"the":[23,42,58],"need":[24],"complex":[26],"models":[27],"with":[28,49,74],"high":[29],"trainable":[30],"parameters.":[31,77],"This":[32],"not":[33],"only":[34],"results":[35],"in":[36],"computational":[37],"burden":[38],"but":[39],"also":[40],"limits":[41],"use":[43],"these":[45],"techniques":[46],"on":[47],"devices":[48],"limited":[50],"resources.":[51],"In":[52],"regard,":[54],"our":[55],"paper":[56],"explores":[57],"idea":[59],"combining":[61],"Fast":[62],"Super-Resolution":[63],"Convolutional":[64],"Neural":[65],"Network":[66],"(FSRCNN)":[67],"and":[68],"Inception":[69],"architecture":[70],"to":[71],"obtain":[72],"improvement":[73],"fewer":[75],"training":[76]},"counts_by_year":[],"updated_date":"2026-02-24T19:35:01.260952","created_date":"2025-10-10T00:00:00"}