{"id":"https://openalex.org/W2112615758","doi":"https://doi.org/10.1109/tcsvt.2009.2017402","title":"Image and Video Denoising Using Adaptive Dual-Tree Discrete Wavelet Packets","display_name":"Image and Video Denoising Using Adaptive Dual-Tree Discrete Wavelet Packets","publication_year":2009,"publication_date":"2009-03-19","ids":{"openalex":"https://openalex.org/W2112615758","doi":"https://doi.org/10.1109/tcsvt.2009.2017402","mag":"2112615758"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2009.2017402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2009.2017402","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5063288559","display_name":"Jingyu Yang","orcid":"https://orcid.org/0000-0002-7521-7920"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingyu Yang","raw_affiliation_strings":["Department of Automation, TNList, Tsinghua University, Beijing, China","Dept. of Autom., Tsinghua Univ., Beijing#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Automation, TNList, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Autom., Tsinghua Univ., Beijing#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319039","display_name":"Yao Wang","orcid":"https://orcid.org/0000-0003-3199-3802"},"institutions":[{"id":"https://openalex.org/I90965887","display_name":"SUNY Polytechnic Institute","ror":"https://ror.org/000fxgx19","country_code":"US","type":"education","lineage":["https://openalex.org/I90965887"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yao Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, NY, USA","Department of Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, NY"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I90965887","https://openalex.org/I57206974"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, NY","institution_ids":["https://openalex.org/I90965887","https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100877238","display_name":"Wenli Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenli Xu","raw_affiliation_strings":["Department of Automation, TNList, Tsinghua University, Beijing, China","Dept. of Autom., Tsinghua Univ., Beijing#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Automation, TNList, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Autom., Tsinghua Univ., Beijing#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080722708","display_name":"Qionghai Dai","orcid":"https://orcid.org/0000-0001-7043-3061"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qionghai Dai","raw_affiliation_strings":["Department of Automation, TNList, Tsinghua University, Beijing, China","Dept. of Autom., Tsinghua Univ., Beijing#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Automation, TNList, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Autom., Tsinghua Univ., Beijing#TAB#","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063288559"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":6.4713,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.96969766,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"5","first_page":"642","last_page":"655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991000294685364,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.6814038753509521},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6249746084213257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6173078417778015},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.565702497959137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5414268374443054},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4978060722351074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4853212237358093},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.47820615768432617},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.45442867279052734},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3887614607810974},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.38668543100357056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38385510444641113},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3571892976760864},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.1489008665084839},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.06999015808105469}],"concepts":[{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.6814038753509521},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6249746084213257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6173078417778015},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.565702497959137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5414268374443054},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4978060722351074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4853212237358093},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.47820615768432617},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.45442867279052734},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3887614607810974},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.38668543100357056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38385510444641113},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3571892976760864},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.1489008665084839},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.06999015808105469},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2009.2017402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2009.2017402","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1485280399","https://openalex.org/W1492854490","https://openalex.org/W1658472922","https://openalex.org/W1958768432","https://openalex.org/W1965084294","https://openalex.org/W1983348509","https://openalex.org/W1986931325","https://openalex.org/W1991605728","https://openalex.org/W2003429524","https://openalex.org/W2005049315","https://openalex.org/W2018332268","https://openalex.org/W2031836675","https://openalex.org/W2033400894","https://openalex.org/W2052531542","https://openalex.org/W2055379949","https://openalex.org/W2056370875","https://openalex.org/W2065391104","https://openalex.org/W2079724595","https://openalex.org/W2082673664","https://openalex.org/W2088359054","https://openalex.org/W2098415878","https://openalex.org/W2098509877","https://openalex.org/W2099627681","https://openalex.org/W2099986430","https://openalex.org/W2109504624","https://openalex.org/W2112545418","https://openalex.org/W2113945798","https://openalex.org/W2114275680","https://openalex.org/W2117853853","https://openalex.org/W2121144182","https://openalex.org/W2125527601","https://openalex.org/W2129276048","https://openalex.org/W2129623024","https://openalex.org/W2132680427","https://openalex.org/W2133798182","https://openalex.org/W2134929491","https://openalex.org/W2136396015","https://openalex.org/W2137577808","https://openalex.org/W2143147461","https://openalex.org/W2146842127","https://openalex.org/W2152023291","https://openalex.org/W2152047336","https://openalex.org/W2153663612","https://openalex.org/W2154699590","https://openalex.org/W2155941280","https://openalex.org/W2156447271","https://openalex.org/W2158940042","https://openalex.org/W2160547390","https://openalex.org/W2160639609","https://openalex.org/W2163612361","https://openalex.org/W2163625959","https://openalex.org/W2166796177","https://openalex.org/W2168977926","https://openalex.org/W2169244200","https://openalex.org/W2170885533","https://openalex.org/W2342360153","https://openalex.org/W2725480663","https://openalex.org/W4214806317","https://openalex.org/W4255521522","https://openalex.org/W6651699282","https://openalex.org/W6658551922","https://openalex.org/W6684243225","https://openalex.org/W6704029106","https://openalex.org/W6740245449"],"related_works":["https://openalex.org/W2387796150","https://openalex.org/W1987356308","https://openalex.org/W3119800349","https://openalex.org/W4385272703","https://openalex.org/W2139368882","https://openalex.org/W2513570774","https://openalex.org/W4214691059","https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W1967182499"],"abstract_inverted_index":{"<para":[0],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[1],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[2],"We":[3],"investigate":[4],"image":[5],"and":[6,48,104,146],"video":[7,139],"denoising":[8,88,112],"using":[9,135],"adaptive":[10],"dual-tree":[11,21],"discrete":[12,22],"wavelet":[13,23,34],"packets":[14,35],"(ADDWP),":[15],"which":[16,68],"is":[17,95,153],"extended":[18],"from":[19],"the":[20,41,56,89,99,102,108,150],"transform":[24],"(DDWT).":[25],"With":[26],"ADDWP,":[27,67],"DDWT":[28,52],"subbands":[29],"are":[30],"further":[31],"decomposed":[32],"into":[33],"with":[36,82,124],"anisotropic":[37],"decomposition,":[38],"so":[39],"that":[40],"resulting":[42],"wavelets":[43],"have":[44],"elongated":[45],"support":[46],"regions":[47],"more":[49],"orientations":[50],"than":[51,74,117],"wavelets.":[53],"To":[54],"determine":[55],"decomposition":[57],"structure,":[58],"we":[59],"develop":[60],"a":[61,75,92],"greedy":[62],"basis":[63,79],"selection":[64,80],"algorithm":[65],"for":[66,122],"has":[69],"significantly":[70],"lower":[71],"computational":[72],"complexity":[73],"previously":[76],"developed":[77],"optimal":[78],"algorithm,":[81],"only":[83],"slight":[84],"performance":[85,116],"loss.":[86],"For":[87],"ADDWP":[90],"coefficients,":[91],"statistical":[93],"model":[94],"used":[96],"to":[97],"exploit":[98],"dependency":[100],"between":[101],"real":[103],"imaginary":[105],"parts":[106],"of":[107,144],"coefficients.":[109],"The":[110,141],"proposed":[111,151],"scheme":[113,130,152],"gives":[114],"better":[115],"several":[118],"state-of-the-art":[119],"DDWT-based":[120],"schemes":[121],"images":[123,145],"rich":[125],"directional":[126],"features.":[127],"Moreover,":[128],"our":[129],"shows":[131],"promising":[132],"results":[133],"without":[134],"motion":[136],"estimation":[137],"in":[138],"denoising.":[140],"visual":[142],"quality":[143],"videos":[147],"denoised":[148],"by":[149],"also":[154],"superior.":[155],"</para>":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":12}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}