{"id":"https://openalex.org/W1965619961","doi":"https://doi.org/10.1109/icip.2011.6116187","title":"Learning a wavelet tree for multichannel image denoising","display_name":"Learning a wavelet tree for multichannel image denoising","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W1965619961","doi":"https://doi.org/10.1109/icip.2011.6116187","mag":"1965619961"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6116187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5085283385","display_name":"Zhen Xiang","orcid":"https://orcid.org/0000-0002-4284-2041"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhen James Xiang","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","[Dept. of Electrical Engineering, Princeton University, Princeton, NJ]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"[Dept. of Electrical Engineering, Princeton University, Princeton, NJ]","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101941418","display_name":"Zhuo Zhang","orcid":"https://orcid.org/0000-0003-3243-1019"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhuo Zhang","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","[Dept. of Electrical Engineering, Princeton University, Princeton, NJ]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"[Dept. of Electrical Engineering, Princeton University, Princeton, NJ]","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066771480","display_name":"Pingmei Xu","orcid":"https://orcid.org/0000-0003-4086-8763"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pingmei Xu","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","[Dept. of Electrical Engineering, Princeton University, Princeton, NJ]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"[Dept. of Electrical Engineering, Princeton University, Princeton, NJ]","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041274293","display_name":"Peter J. Ramadge","orcid":"https://orcid.org/0000-0002-3282-216X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter J. Ramadge","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","[Dept. of Electrical Engineering, Princeton University, Princeton, NJ]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"[Dept. of Electrical Engineering, Princeton University, Princeton, NJ]","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2565","last_page":"2568"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9937999844551086,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9912999868392944,"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":0.6905295252799988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6485022306442261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.635513186454773},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6149146556854248},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5991178154945374},{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.595448911190033},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5888136029243469},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5558373928070068},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5051460862159729},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.46976399421691895},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4450650215148926},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.44429540634155273},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.43955352902412415},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.42988812923431396},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3320724070072174},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28932836651802063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2669731080532074},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.21751877665519714},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.08058547973632812}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6905295252799988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6485022306442261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.635513186454773},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6149146556854248},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5991178154945374},{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.595448911190033},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5888136029243469},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5558373928070068},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5051460862159729},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.46976399421691895},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4450650215148926},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.44429540634155273},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43955352902412415},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.42988812923431396},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3320724070072174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28932836651802063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2669731080532074},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.21751877665519714},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.08058547973632812},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.0},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2011.6116187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","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":12,"referenced_works":["https://openalex.org/W1964671175","https://openalex.org/W1992205505","https://openalex.org/W2002703132","https://openalex.org/W2026912579","https://openalex.org/W2079724595","https://openalex.org/W2109952872","https://openalex.org/W2120348721","https://openalex.org/W2130630043","https://openalex.org/W2138057336","https://openalex.org/W2167503608","https://openalex.org/W4255521522","https://openalex.org/W4256117910"],"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/W4214691059","https://openalex.org/W2513570774","https://openalex.org/W4287907666","https://openalex.org/W2903172302","https://openalex.org/W2997240037"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2],"new":[3],"multichannel":[4,72],"image":[5,73],"denoising":[6,74],"algorithm.":[7],"To":[8],"exploit":[9],"important":[10],"inter-channel":[11],"dependencies,":[12],"we":[13],"first":[14],"use":[15],"dynamic":[16],"programming":[17],"to":[18,44,50,61],"learn":[19],"an":[20],"explicit":[21],"dyadic":[22,35],"tree":[23,63],"representation":[24],"of":[25,29],"the":[26,30,46,51,54,69],"common":[27],"structure":[28],"channels.":[31],"Based":[32],"on":[33],"this":[34],"tree,":[36],"optimal":[37],"Haar":[38],"wavelet":[39],"thresholding":[40],"is":[41],"then":[42],"applied":[43],"denoise":[45],"image.":[47],"In":[48],"addition":[49],"original":[52],"channels,":[53],"algorithm":[55],"can":[56],"employ":[57],"multiple":[58],"derived":[59],"channels":[60],"improve":[62],"learning.":[64],"Experimental":[65],"results":[66],"confirm":[67],"that":[68],"approach":[70],"improves":[71],"performance":[75],"both":[76],"in":[77,80],"PSNR":[78],"and":[79],"edge":[81],"preservation.":[82]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}