{"id":"https://openalex.org/W2573749696","doi":"https://doi.org/10.1109/vcip.2016.7805430","title":"Depth map super-resolution via extended weighted mode filtering","display_name":"Depth map super-resolution via extended weighted mode filtering","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2573749696","doi":"https://doi.org/10.1109/vcip.2016.7805430","mag":"2573749696"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2016.7805430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","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/A5076203712","display_name":"Mingliang Fu","orcid":"https://orcid.org/0000-0002-6006-6699"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingliang Fu","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004123938","display_name":"Weijia Zhou","orcid":"https://orcid.org/0000-0003-4339-0435"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijia Zhou","raw_affiliation_strings":["State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076203712"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.835,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81492607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10638","display_name":"Optical measurement and interference techniques","score":0.9997000098228455,"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":0.9991999864578247,"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/computer-science","display_name":"Computer science","score":0.7213224172592163},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6528635025024414},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.647649347782135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6320391297340393},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5858107805252075},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.538007915019989},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.5204629898071289},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4847392737865448},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.46950197219848633},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.45053622126579285},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.366161584854126},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27535802125930786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7213224172592163},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6528635025024414},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.647649347782135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6320391297340393},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5858107805252075},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.538007915019989},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.5204629898071289},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4847392737865448},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.46950197219848633},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.45053622126579285},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.366161584854126},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27535802125930786},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/vcip.2016.7805430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1491073809","https://openalex.org/W1988180668","https://openalex.org/W2082253268","https://openalex.org/W2099244020","https://openalex.org/W2104600947","https://openalex.org/W2104620097","https://openalex.org/W2109945199","https://openalex.org/W2118273112","https://openalex.org/W2124202434","https://openalex.org/W2125188192","https://openalex.org/W2153388956","https://openalex.org/W2286688059","https://openalex.org/W2356493088","https://openalex.org/W4241716071","https://openalex.org/W6629222711","https://openalex.org/W6675077989","https://openalex.org/W6676600194","https://openalex.org/W6678681887"],"related_works":["https://openalex.org/W2337415362","https://openalex.org/W4312857205","https://openalex.org/W121273120","https://openalex.org/W2090093270","https://openalex.org/W2164918837","https://openalex.org/W1604511055","https://openalex.org/W4213228110","https://openalex.org/W2080860377","https://openalex.org/W1958566081","https://openalex.org/W2170110741"],"abstract_inverted_index":{"Depth":[0],"maps":[1],"captured":[2],"by":[3],"the":[4,56,60,66,77,122],"range":[5],"imaging":[6],"sensors":[7],"such":[8],"as":[9],"ToF":[10],"(time":[11],"of":[12,25,55,59,132],"flight)":[13],"camera":[14],"and":[15,23,76,136],"Kinect":[16],"are":[17],"stuck":[18],"with":[19,93,109],"limited":[20],"spatial":[21],"resolution":[22],"varieties":[24],"noises,":[26],"which":[27],"makes":[28],"it":[29],"difficult":[30],"to":[31,35,81],"be":[32],"directly":[33],"applied":[34],"3D":[36],"scene":[37],"analysis.":[38],"In":[39,53],"this":[40],"paper,":[41],"we":[42],"address":[43],"these":[44],"issues":[45],"via":[46],"an":[47],"extended":[48],"weighted":[49,72],"mode":[50,73],"filter":[51,62,74,80,108],"(EWMF).":[52],"view":[54],"impressive":[57],"feature":[58],"noise-aware":[61],"in":[63,130],"noise":[64,78,85],"suppression,":[65],"proposed":[67,107,123],"method":[68,124],"synergistically":[69],"combines":[70],"standard":[71],"(WMF)":[75],"aware":[79],"achieve":[82],"a":[83,94,98],"better":[84],"suppression":[86],"performance.":[87],"Different":[88],"from":[89],"conventional":[90],"filtering-based":[91],"methods":[92],"fixed":[95],"support":[96,101],"window,":[97],"refined":[99],"adaptive":[100],"window":[102],"(RASW)":[103],"is":[104],"designed.":[105],"The":[106],"RASW":[110],"can":[111],"well":[112],"capture":[113],"local":[114],"structure":[115],"details":[116],"better.":[117],"Experimental":[118],"results":[119],"demonstrate":[120],"that":[121],"outperforms":[125],"several":[126],"state-of-the-art":[127],"super-resolution":[128],"techniques":[129],"terms":[131],"bad":[133],"pixel":[134],"rate":[135],"root":[137],"mean":[138],"square":[139],"error.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}