{"id":"https://openalex.org/W2509530119","doi":"https://doi.org/10.1109/iscas.2016.7538865","title":"VLSI architecture design of weighted mode filter for Full-HD depth map upsampling at 30fps","display_name":"VLSI architecture design of weighted mode filter for Full-HD depth map upsampling at 30fps","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2509530119","doi":"https://doi.org/10.1109/iscas.2016.7538865","mag":"2509530119"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2016.7538865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2016.7538865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5041296949","display_name":"Li-De Chen","orcid":"https://orcid.org/0009-0006-4206-1022"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Li-De Chen","raw_affiliation_strings":["Department of Electrical Engineering, National Tsing Hua University"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Tsing Hua University","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089134646","display_name":"Yu-Ling Hsiao","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Ling Hsiao","raw_affiliation_strings":["Department of Electrical Engineering, National Tsing Hua University"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Tsing Hua University","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042036635","display_name":"Chao-Tsung Huang","orcid":"https://orcid.org/0000-0002-9173-520X"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chao-Tsung Huang","raw_affiliation_strings":["Department of Electrical Engineering, National Tsing Hua University"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Tsing Hua University","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041296949"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65826439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"26","issue":null,"first_page":"1578","last_page":"1581"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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":0.9993000030517578,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9986000061035156,"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/upsampling","display_name":"Upsampling","score":0.9206531047821045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7715167999267578},{"id":"https://openalex.org/keywords/static-random-access-memory","display_name":"Static random-access memory","score":0.6443678140640259},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.5889413356781006},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.573255717754364},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.5202006697654724},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.5070486068725586},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43722033500671387},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3503345549106598},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.33598947525024414},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2208363115787506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20351716876029968},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16975829005241394},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09933832287788391},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09768074750900269},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07612666487693787}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.9206531047821045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7715167999267578},{"id":"https://openalex.org/C68043766","wikidata":"https://www.wikidata.org/wiki/Q267416","display_name":"Static random-access memory","level":2,"score":0.6443678140640259},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.5889413356781006},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.573255717754364},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.5202006697654724},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.5070486068725586},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43722033500671387},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3503345549106598},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.33598947525024414},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2208363115787506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20351716876029968},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16975829005241394},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09933832287788391},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09768074750900269},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07612666487693787},{"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/iscas.2016.7538865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2016.7538865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","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":12,"referenced_works":["https://openalex.org/W63091017","https://openalex.org/W1974949120","https://openalex.org/W1983044509","https://openalex.org/W1988292587","https://openalex.org/W2060799924","https://openalex.org/W2082253268","https://openalex.org/W2104600947","https://openalex.org/W2104620097","https://openalex.org/W2115627208","https://openalex.org/W2161516535","https://openalex.org/W2165114467","https://openalex.org/W4241716071"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2281134365","https://openalex.org/W4310746709","https://openalex.org/W4385574037","https://openalex.org/W4386075645","https://openalex.org/W4306309518"],"abstract_inverted_index":{"High-resolution":[0],"depth":[1,26,121],"maps":[2],"are":[3,56,66],"necessary":[4],"for":[5,48,83],"advanced":[6],"computer":[7],"vision":[8],"applications":[9],"but":[10],"difficult":[11],"to":[12,22,33,58,74,89],"generate":[13],"on":[14,107],"portable":[15],"devices.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20],"aim":[21],"provide":[23,119],"a":[24,84],"realtime":[25],"upsampling":[27,122],"engine":[28],"using":[29,111],"weighted":[30],"mode":[31],"filtering":[32],"alleviate":[34],"the":[35,108,115],"hardware":[36],"requirement":[37],"in":[38],"such":[39],"scenarios.":[40],"An":[41],"appropriate":[42],"filter":[43],"window":[44],"size":[45],"is":[46],"essential":[47],"both":[49],"performance":[50],"and":[51,53,79,102,130],"complexity,":[52],"extensive":[54],"experiments":[55],"conducted":[57],"choose":[59],"an":[60],"8\u00d78":[61],"window.":[62],"The":[63],"design":[64],"bottlenecks":[65],"then":[67],"mainly":[68],"twofold:":[69],"high":[70,85],"SRAM":[71],"bandwidth":[72],"due":[73],"large-window":[75],"source":[76,100],"data":[77],"access":[78],"complex":[80],"histogram":[81],"processing":[82],"depth-label":[86],"count":[87],"up":[88],"128.":[90],"These":[91],"issues":[92],"were":[93],"addressed":[94],"by":[95],"two":[96],"proposed":[97,116],"techniques":[98],"accordingly:":[99],"spreading":[101],"one-the-fly":[103],"maximum":[104],"finding.":[105],"Based":[106],"synthesis":[109],"results":[110],"TSMC":[112],"40nm":[113],"technology,":[114],"architecture":[117],"can":[118],"Full-HD":[120],"at":[123],"43":[124],"fps":[125],"with":[126],"247k":[127],"logic":[128],"gates":[129],"5.4":[131],"kbytes":[132],"of":[133],"SRAM.":[134]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
