{"id":"https://openalex.org/W4384947522","doi":"https://doi.org/10.1109/iscas46773.2023.10181395","title":"An FPGA-based Lightweight Deblocking CNN for Edge Devices","display_name":"An FPGA-based Lightweight Deblocking CNN for Edge Devices","publication_year":2023,"publication_date":"2023-05-21","ids":{"openalex":"https://openalex.org/W4384947522","doi":"https://doi.org/10.1109/iscas46773.2023.10181395"},"language":"en","primary_location":{"id":"doi:10.1109/iscas46773.2023.10181395","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscas46773.2023.10181395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5101937595","display_name":"Jaemyung Kim","orcid":"https://orcid.org/0000-0001-8448-9680"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaemyung Kim","raw_affiliation_strings":["Inha University,Department of Electrical and Computer Engineering,Incheon,South Korea","Department of Electrical and Computer Engineering, Inha University, Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inha University,Department of Electrical and Computer Engineering,Incheon,South Korea","institution_ids":["https://openalex.org/I191879574"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035110848","display_name":"Jin-Ku Kang","orcid":"https://orcid.org/0000-0002-3752-3740"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin-Ku Kang","raw_affiliation_strings":["Inha University,Department of Electrical and Computer Engineering,Incheon,South Korea","Department of Electrical and Computer Engineering, Inha University, Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inha University,Department of Electrical and Computer Engineering,Incheon,South Korea","institution_ids":["https://openalex.org/I191879574"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019873685","display_name":"Yongwoo Kim","orcid":"https://orcid.org/0000-0002-1011-2319"},"institutions":[{"id":"https://openalex.org/I157264075","display_name":"Sangmyung University","ror":"https://ror.org/01x4whx42","country_code":"KR","type":"education","lineage":["https://openalex.org/I157264075"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yongwoo Kim","raw_affiliation_strings":["Sangmyung University,Department of System Semiconductor Engineering,Cheonan,South Korea","Department of System Semiconductor Engineering, Sangmyung University, Cheonan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sangmyung University,Department of System Semiconductor Engineering,Cheonan,South Korea","institution_ids":["https://openalex.org/I157264075"]},{"raw_affiliation_string":"Department of System Semiconductor Engineering, Sangmyung University, Cheonan, South Korea","institution_ids":["https://openalex.org/I157264075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2246,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50071011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9991000294685364,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9988999962806702,"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/deblocking-filter","display_name":"Deblocking filter","score":0.8524476289749146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8367410898208618},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6483232975006104},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.628983736038208},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5860625505447388},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5389227867126465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5155167579650879},{"id":"https://openalex.org/keywords/blocking","display_name":"Blocking (statistics)","score":0.45435631275177},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44004812836647034},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3803554177284241},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3601028621196747},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.151063472032547}],"concepts":[{"id":"https://openalex.org/C143184774","wikidata":"https://www.wikidata.org/wiki/Q3020846","display_name":"Deblocking filter","level":2,"score":0.8524476289749146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8367410898208618},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6483232975006104},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.628983736038208},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5860625505447388},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5389227867126465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5155167579650879},{"id":"https://openalex.org/C144745244","wikidata":"https://www.wikidata.org/wiki/Q4927286","display_name":"Blocking (statistics)","level":2,"score":0.45435631275177},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44004812836647034},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3803554177284241},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3601028621196747},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.151063472032547},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas46773.2023.10181395","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscas46773.2023.10181395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2115907784","https://openalex.org/W2140196014","https://openalex.org/W2161907179","https://openalex.org/W2170023599","https://openalex.org/W2508457857","https://openalex.org/W2741137940","https://openalex.org/W2897840030","https://openalex.org/W2919720707","https://openalex.org/W2950217418","https://openalex.org/W2976718572","https://openalex.org/W3083244333","https://openalex.org/W3109737331","https://openalex.org/W3167976421","https://openalex.org/W4214609808","https://openalex.org/W4288413318","https://openalex.org/W4312847258","https://openalex.org/W6758681311","https://openalex.org/W6767597771"],"related_works":["https://openalex.org/W244738299","https://openalex.org/W777051326","https://openalex.org/W3084502757","https://openalex.org/W2392312325","https://openalex.org/W2356677187","https://openalex.org/W2384663326","https://openalex.org/W2022808025","https://openalex.org/W2390951593","https://openalex.org/W1969222789","https://openalex.org/W4225949190"],"abstract_inverted_index":{"The":[0,15],"demand":[1],"for":[2,21,104],"multimedia":[3],"data":[4,16,31],"is":[5,19,87],"rapidly":[6],"increasing":[7],"in":[8,24,52,118,141],"many":[9],"applications":[10,86],"running":[11],"on":[12,171],"edge":[13,84,105],"devices.":[14,106],"compression":[17],"method":[18],"essential":[20],"efficient":[22],"communication":[23],"limited":[25],"network":[26,64,102],"bandwidth.":[27],"However,":[28,55],"the":[29,119,132,144,150,164,181],"compressed":[30],"contains":[32],"blocking":[33,116],"artifacts":[34,117],"that":[35,66],"cause":[36],"perceptual":[37],"quality":[38],"degradation":[39],"and":[40,62,71,134,149,159],"visual":[41],"recognition":[42],"problems.":[43],"Recently,":[44],"deep":[45,63],"learning-based":[46],"works":[47,58],"have":[48,59],"shown":[49],"excellent":[50],"progress":[51],"deblocking":[53,99,166],"tasks.":[54],"most":[56],"previous":[57],"used":[60],"complex":[61],"architectures":[65],"require":[67],"high":[68],"computational":[69],"cost":[70],"large":[72],"amounts":[73],"of":[74,146,179],"memory":[75,135],"to":[76,113,129],"improve":[77],"performance.":[78],"Therefore,":[79],"deploying":[80],"these":[81],"networks":[82],"as":[83],"device":[85],"highly":[88],"challenging":[89],"work.":[90],"In":[91,122],"this":[92],"paper,":[93],"we":[94],"propose":[95],"an":[96],"FPGA-based":[97],"lightweight":[98,110],"convolutional":[100],"neural":[101],"(CNN)":[103],"We":[107],"present":[108],"a":[109,172,177],"CNN":[111,167],"architecture":[112],"efficiently":[114],"reduce":[115],"color":[120],"domain.":[121],"addition,":[123],"two":[124],"optimization":[125],"methods":[126],"were":[127,153],"introduced":[128],"further":[130],"decrease":[131],"computation":[133],"requirement.":[136],"Compared":[137],"with":[138],"CNNs":[139],"proposed":[140,165],"other":[142],"works,":[143],"number":[145],"MAC":[147],"operations":[148],"model":[151],"size":[152],"reduced":[154],"by":[155],"approximately":[156],"<tex>$\\times":[157,160],"145$</tex>":[158],"2,300$</tex>,":[161],"respectively.":[162],"Finally,":[163],"has":[168],"been":[169],"implemented":[170],"ZCU104":[173],"FPGA":[174],"board.":[175],"As":[176],"result":[178],"measuring":[180],"frame":[182],"rate,":[183],"it":[184],"achieved":[185],"30.73":[186],"FPS.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}