{"id":"https://openalex.org/W2614517779","doi":"https://doi.org/10.1109/fpt.2016.7929545","title":"FPGA implementation of a real-time super-resolution system using a convolutional neural network","display_name":"FPGA implementation of a real-time super-resolution system using a convolutional neural network","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2614517779","doi":"https://doi.org/10.1109/fpt.2016.7929545","mag":"2614517779"},"language":"en","primary_location":{"id":"doi:10.1109/fpt.2016.7929545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fpt.2016.7929545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Field-Programmable Technology (FPT)","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/A5108249863","display_name":"Taito Manabe","orcid":null},"institutions":[{"id":"https://openalex.org/I43777268","display_name":"Nagasaki University","ror":"https://ror.org/058h74p94","country_code":"JP","type":"education","lineage":["https://openalex.org/I43777268"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Taito Manabe","raw_affiliation_strings":["Graduate School of Engineering, Nagasaki University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Nagasaki University, Japan","institution_ids":["https://openalex.org/I43777268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106183057","display_name":"Yuichiro Shibata","orcid":null},"institutions":[{"id":"https://openalex.org/I43777268","display_name":"Nagasaki University","ror":"https://ror.org/058h74p94","country_code":"JP","type":"education","lineage":["https://openalex.org/I43777268"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichiro Shibata","raw_affiliation_strings":["Graduate School of Engineering, Nagasaki University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Nagasaki University, Japan","institution_ids":["https://openalex.org/I43777268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111880500","display_name":"Kiyoshi Oguri","orcid":null},"institutions":[{"id":"https://openalex.org/I43777268","display_name":"Nagasaki University","ror":"https://ror.org/058h74p94","country_code":"JP","type":"education","lineage":["https://openalex.org/I43777268"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyoshi Oguri","raw_affiliation_strings":["Graduate School of Engineering, Nagasaki University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Nagasaki University, Japan","institution_ids":["https://openalex.org/I43777268"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108249863"],"corresponding_institution_ids":["https://openalex.org/I43777268"],"apc_list":null,"apc_paid":null,"fwci":1.169,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8605904,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"252"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9976999759674072,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9951000213623047,"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/computer-science","display_name":"Computer science","score":0.8292601108551025},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7204410433769226},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.720065176486969},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6540312170982361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5255509614944458},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5250482559204102},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4627615809440613},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4473626911640167},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43785566091537476},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.41195616126060486},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2423742413520813},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07870981097221375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8292601108551025},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7204410433769226},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.720065176486969},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6540312170982361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5255509614944458},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5250482559204102},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4627615809440613},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4473626911640167},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43785566091537476},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.41195616126060486},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2423742413520813},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07870981097221375}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fpt.2016.7929545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fpt.2016.7929545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Field-Programmable Technology (FPT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1522301498","https://openalex.org/W1672699986","https://openalex.org/W1885185971","https://openalex.org/W2133665775","https://openalex.org/W2156387975","https://openalex.org/W2919115771","https://openalex.org/W2964121744","https://openalex.org/W6602211262","https://openalex.org/W6631190155","https://openalex.org/W6637444228","https://openalex.org/W6639309558","https://openalex.org/W6682889407"],"related_works":["https://openalex.org/W2111241003","https://openalex.org/W2355315220","https://openalex.org/W4200391368","https://openalex.org/W2210979487","https://openalex.org/W4225949190","https://openalex.org/W2044092692","https://openalex.org/W2614621130","https://openalex.org/W4289655544","https://openalex.org/W2547665164","https://openalex.org/W3103111272"],"abstract_inverted_index":{"Super-resolution":[0],"technologies":[1],"are":[2,15,120],"used":[3,65],"to":[4,18,58,77,94,123,159],"fill":[5],"the":[6,75,79,112,116,127,129,144,153],"gap":[7],"between":[8],"high-resolution":[9],"displays":[10],"and":[11,36,73,115],"lower-resolution":[12],"contents.":[13],"There":[14],"various":[16],"algorithms":[17],"interpolate":[19],"information,":[20],"one":[21],"of":[22,39,63,81,105,118,126,152],"which":[23,44],"is":[24],"using":[25,162],"a":[26,40,103],"convolutional":[27],"neural":[28],"network":[29,59,76,113],"(CNN).":[30],"This":[31,68],"paper":[32],"shows":[33],"FPGA":[34],"implementation":[35],"performance":[37],"evaluation":[38,139],"CNN-based":[41],"super-resolution":[42,90,133],"system,":[43],"can":[45,88],"process":[46],"moving":[47],"images":[48,61,134],"in":[49,150],"real":[50],"time.":[51],"We":[52],"apply":[53],"horizontal":[54],"and/or":[55],"vertical":[56],"flips":[57],"input":[60,83],"instead":[62],"commonly":[64],"pre-enlargement":[66],"techniques.":[67],"method":[69],"prevents":[70],"information":[71],"loss":[72],"enables":[74],"utilize":[78],"best":[80],"its":[82],"image":[84],"size.":[85],"Our":[86],"system":[87,130,146],"perform":[89],"from":[91],"960\u00d7540":[92],"pixels":[93,96],"1920\u00d71080":[95],"at":[97],"not":[98],"less":[99,106],"than":[100,107],"48fps":[101],"with":[102,135],"latency":[104],"1":[108],"ms.":[109],"Even":[110],"though":[111],"scale":[114],"size":[117],"filters":[119],"limited":[121],"due":[122],"resource":[124],"restriction":[125],"FPGA,":[128],"generates":[131],"clear":[132],"smooth":[136],"edges.":[137],"The":[138],"results":[140],"also":[141],"reveal":[142],"that":[143],"proposed":[145],"achieves":[147],"superior":[148],"quality":[149],"terms":[151],"structural":[154],"similarity":[155],"(SSIM)":[156],"index,":[157],"compared":[158],"other":[160],"systems":[161],"pre-enlargement.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}