{"id":"https://openalex.org/W1976768677","doi":"https://doi.org/10.1109/mmsp.2013.6659254","title":"Depth map denoising using graph-based transform and group sparsity","display_name":"Depth map denoising using graph-based transform and group sparsity","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W1976768677","doi":"https://doi.org/10.1109/mmsp.2013.6659254","mag":"1976768677"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2013.6659254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2013.6659254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP)","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/A5059045087","display_name":"Wei Hu","orcid":"https://orcid.org/0000-0002-9860-0922"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Wei Hu","raw_affiliation_strings":["Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China","[Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China]"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"[Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China]","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354039","display_name":"Xin Li","orcid":"https://orcid.org/0000-0003-2067-2763"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["West Virginia University, Morgantown, WV","West Virginia University, Morgantown, WV, USA"],"affiliations":[{"raw_affiliation_string":"West Virginia University, Morgantown, WV","institution_ids":["https://openalex.org/I12097938"]},{"raw_affiliation_string":"West Virginia University, Morgantown, WV, USA","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038897476","display_name":"Gene Cheung","orcid":"https://orcid.org/0000-0002-5571-4137"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Gene Cheung","raw_affiliation_strings":["National Institute of Informatics, Chiyoda-ku, Tokyo, Japan","Nat. Inst. of Inf., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Chiyoda-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]},{"raw_affiliation_string":"Nat. Inst. of Inf., Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010546001","display_name":"Oscar C. Au","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Oscar Au","raw_affiliation_strings":["Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China","[Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China]"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"[Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China]","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059045087"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":9.1249,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":{"value":0.98202371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"001","last_page":"006"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9987999796867371,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9973999857902527,"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/noise-reduction","display_name":"Noise reduction","score":0.6617107391357422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6513239145278931},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.6102620363235474},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5731320381164551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5381930470466614},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5334966778755188},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4492914080619812},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4279630184173584},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.42352741956710815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4100450873374939},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3462696671485901},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3297596573829651},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.20199057459831238},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09204259514808655}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6617107391357422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6513239145278931},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.6102620363235474},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5731320381164551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5381930470466614},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5334966778755188},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4492914080619812},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4279630184173584},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.42352741956710815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4100450873374939},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3462696671485901},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3297596573829651},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.20199057459831238},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09204259514808655},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/mmsp.2013.6659254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2013.6659254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.676.2354","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.676.2354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.nii.ac.jp/%7Echeung/2013/mmsp2013_hkust.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.724.6182","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.724.6182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ihome.ust.hk/%7Ehuwei/publications/Conference/MMSP13.pdf","raw_type":"text"},{"id":"pmh:oai:repository.ust.hk:1783.1-59237","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000393058000001","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1582239425","https://openalex.org/W2011181254","https://openalex.org/W2014311222","https://openalex.org/W2014504480","https://openalex.org/W2056370875","https://openalex.org/W2082228984","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2102053997","https://openalex.org/W2128692736","https://openalex.org/W2132914434","https://openalex.org/W2144392304","https://openalex.org/W2153663612","https://openalex.org/W2536599074","https://openalex.org/W4214806317","https://openalex.org/W6728784816"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W4233939244","https://openalex.org/W2730764323","https://openalex.org/W2133587243","https://openalex.org/W2947589085"],"abstract_inverted_index":{"Depth":[0],"maps,":[1],"characterizing":[2],"per-pixel":[3],"physical":[4],"distance":[5],"between":[6],"objects":[7],"in":[8,54,84,135,176],"a":[9,13,73,85,97],"3D":[10],"scene":[11],"and":[12,69,88],"capturing":[14],"camera,":[15],"can":[16,163],"now":[17],"be":[18],"readily":[19],"acquired":[20,31],"using":[21],"inexpensive":[22],"active":[23],"sensors":[24],"such":[25,169],"as":[26,170],"Microsoft":[27],"Kinect.":[28],"However,":[29],"the":[30,55,110,117,124,136],"depth":[32,62,74,86,149],"maps":[33,150],"are":[34,121],"often":[35],"corrupted":[36,151],"due":[37],"to":[38,59,64,79,109,139,174],"surface":[39],"reflection":[40],"or":[41],"sensor":[42],"noise.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47,77,95,105,129],"build":[48],"on":[49],"two":[50],"previously":[51],"developed":[52],"works":[53],"image":[56,87,166],"denoising":[57,161,167],"literature":[58],"restore":[60],"single":[61,148],"maps-i.e.,":[63],"jointly":[65],"exploit":[66],"local":[67],"smoothness":[68],"nonlocal":[70],"self-similarity":[71],"of":[72,178],"map.":[75],"Specifically,":[76],"propose":[78],"first":[80],"cluster":[81],"similar":[82,107],"patches":[83,108],"compute":[89],"an":[90,131],"average":[91],"patch,":[92],"from":[93,123],"which":[94],"deduce":[96],"graph":[98],"describing":[99],"correlations":[100],"among":[101],"adjacent":[102],"pixels.":[103],"Then":[104],"transform":[106,113],"same":[111],"graph-based":[112],"(GBT)":[114],"domain,":[115],"where":[116],"GBT":[118,137],"basis":[119],"vectors":[120],"learned":[122],"derived":[125],"correlation":[126],"graph.":[127],"Finally,":[128],"perform":[130],"iterative":[132],"thresholding":[133],"procedure":[134],"domain":[138],"enforce":[140],"group":[141],"sparsity.":[142],"Experimental":[143],"results":[144],"show":[145],"that":[146],"for":[147],"with":[152],"additive":[153],"white":[154],"Gaussian":[155],"noise":[156],"(AWGN),":[157],"our":[158],"proposed":[159],"NLGBT":[160],"algorithm":[162],"outperform":[164],"state-of-the-art":[165],"methods":[168],"BM3D":[171],"by":[172],"up":[173],"2.37dB":[175],"terms":[177],"PSNR.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":12}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
