{"id":"https://openalex.org/W2552610284","doi":"https://doi.org/10.1109/vlsi-soc.2016.7753554","title":"A VLSI architecture for real-time gradient guided image filtering","display_name":"A VLSI architecture for real-time gradient guided image filtering","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2552610284","doi":"https://doi.org/10.1109/vlsi-soc.2016.7753554","mag":"2552610284"},"language":"en","primary_location":{"id":"doi:10.1109/vlsi-soc.2016.7753554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc.2016.7753554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC)","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/A5101437624","display_name":"Lei Wu","orcid":"https://orcid.org/0000-0002-9649-613X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Lei Wu","raw_affiliation_strings":["VIRTUS IC Design Center of Excellence, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"VIRTUS IC Design Center of Excellence, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018516888","display_name":"Ching Chuen Jong","orcid":"https://orcid.org/0000-0003-1178-9062"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ching Chuen Jong","raw_affiliation_strings":["VIRTUS IC Design Center of Excellence, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"VIRTUS IC Design Center of Excellence, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101437624"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.501,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73431679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":0.9994000196456909,"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":0.9991999864578247,"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/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.845970869064331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6942791938781738},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6343356370925903},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6054726243019104},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6019527912139893},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.574744701385498},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.544827401638031},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5428414940834045},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5317560434341431},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5125465393066406},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4188064932823181},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3592372536659241},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35909876227378845},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3516806364059448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3239101767539978},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2993037700653076},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24807122349739075},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1994224488735199}],"concepts":[{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.845970869064331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6942791938781738},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6343356370925903},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6054726243019104},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6019527912139893},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.574744701385498},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.544827401638031},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5428414940834045},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5317560434341431},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5125465393066406},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4188064932823181},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3592372536659241},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35909876227378845},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3516806364059448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3239101767539978},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2993037700653076},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24807122349739075},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1994224488735199},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vlsi-soc.2016.7753554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc.2016.7753554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8500000238418579,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W107968503","https://openalex.org/W1529155083","https://openalex.org/W1545189828","https://openalex.org/W1966179910","https://openalex.org/W1995031544","https://openalex.org/W2065533005","https://openalex.org/W2080826221","https://openalex.org/W2114612715","https://openalex.org/W2123782500","https://openalex.org/W2125188192","https://openalex.org/W2141957843","https://openalex.org/W2145367339","https://openalex.org/W2160956336","https://openalex.org/W2161516535","https://openalex.org/W2244684328","https://openalex.org/W2998514558","https://openalex.org/W4243154030","https://openalex.org/W6632687447","https://openalex.org/W6677139400"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2019977573","https://openalex.org/W2149980199","https://openalex.org/W3125766170","https://openalex.org/W2040641410"],"abstract_inverted_index":{"High":[0],"performance":[1],"filtering":[2,124,169],"has":[3,203],"been":[4],"in":[5,48,69,106,113],"ever":[6],"increasing":[7],"demand":[8],"for":[9,15,38,42],"a":[10,88,171,177],"range":[11],"of":[12,24,65,78,115,180,188],"applications,":[13],"especially":[14],"real-time":[16],"image/video":[17],"processing.":[18],"Guided":[19],"image":[20,28,36,52,82,138,168],"filter":[21,37],"is":[22,54,73,104,128,160],"one":[23],"the":[25,32,44,49,63,70,107,123,131,136,147,152,157,192],"widely":[26],"used":[27,129],"filters.":[29],"Among":[30],"them,":[31],"gradient":[33,79],"domain":[34,80],"guided":[35,51,81],"edge-preserving":[39],"smoothing":[40],"and":[41,62,98,117,140,185,202,207],"mitigating":[43],"halo-artifacts":[45],"problem":[46],"existed":[47],"current":[50],"filters":[53],"reported":[55],"recently.":[56],"Due":[57],"to":[58,94,109,134,141,162,191],"its":[59],"computation":[60,96,111],"complexity":[61,97],"requirement":[64],"global":[66],"pixel":[67],"values":[68],"computation,":[71],"there":[72],"no":[74],"existing":[75,193],"VLSI":[76,89],"implementation":[77],"filter.":[83],"This":[84],"paper":[85],"presents":[86],"such":[87],"architecture":[90,159],"incorporated":[91],"with":[92,176],"techniques":[93],"reduce":[95],"increase":[99],"processing":[100],"throughput.":[101,144],"Subsampling":[102],"technique":[103],"adopted":[105],"design":[108,178],"save":[110],"cost":[112],"terms":[114],"size":[116,139,206],"power":[118,186,210],"consumption,":[119],"without":[120],"visually":[121],"hampering":[122],"result.":[125],"Parallel":[126],"structure":[127],"at":[130,170],"output":[132],"stage":[133],"restore":[135],"full":[137],"achieve":[142,197],"high":[143],"Based":[145],"on":[146],"STM":[148],"90-nm":[149],"CMOS":[150],"technology,":[151],"synthesis":[153],"result":[154],"shows":[155],"that":[156],"proposed":[158],"able":[161],"support":[163],"Full-HD":[164],"(1920":[165],"\u00d7":[166],"1080)":[167],"throughput":[172],"above":[173],"60":[174],"frame/s,":[175],"area":[179],"726671.6\u03bcm":[181],"<sup":[182],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[183],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[184],"consumption":[187],"9.85mW.":[189],"Compared":[190],"design,":[194],"it":[195],"can":[196],"two":[198],"times":[199],"higher":[200],"throughput,":[201],"11.25%":[204],"smaller":[205],"56.3%":[208],"lower":[209],"consumption.":[211]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}