{"id":"https://openalex.org/W2064642637","doi":"https://doi.org/10.1109/isspa.2003.1224917","title":"A wavelet filter criterion for an a-priori evaluation of wavelet coding and denoising performances","display_name":"A wavelet filter criterion for an a-priori evaluation of wavelet coding and denoising performances","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2064642637","doi":"https://doi.org/10.1109/isspa.2003.1224917","mag":"2064642637"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2003.1224917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2003.1224917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","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/A5109156215","display_name":"Fr\u00e9d\u00e9ric Nicolier","orcid":null},"institutions":[{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"F. Nicolier","raw_affiliation_strings":["IUT-Department GeZi, LAM-URCA, Troyes, France","IUT, Troyes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IUT-Department GeZi, LAM-URCA, Troyes, France","institution_ids":[]},{"raw_affiliation_string":"IUT, Troyes, France","institution_ids":["https://openalex.org/I140494188"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075798929","display_name":"G Millon","orcid":null},"institutions":[{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"G. Millon","raw_affiliation_strings":["IUT-Department GeZi, LAM-URCA, Troyes, France","IUT, Troyes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IUT-Department GeZi, LAM-URCA, Troyes, France","institution_ids":[]},{"raw_affiliation_string":"IUT, Troyes, France","institution_ids":["https://openalex.org/I140494188"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030303318","display_name":"\u00c9tienne Baudrier","orcid":"https://orcid.org/0000-0002-2038-9434"},"institutions":[{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"E. Baudrier","raw_affiliation_strings":["IUT-Department GeZi, LAM-URCA, Troyes, France","IUT, Troyes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IUT-Department GeZi, LAM-URCA, Troyes, France","institution_ids":[]},{"raw_affiliation_string":"IUT, Troyes, France","institution_ids":["https://openalex.org/I140494188"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I140494188"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16138634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"67","issue":null,"first_page":"475","last_page":"478 vol.2"},"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/T10901","display_name":"Advanced Data Compression Techniques","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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/wavelet","display_name":"Wavelet","score":0.7272131443023682},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.582363486289978},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4964907765388489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4632014334201813},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.45391541719436646},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.4407532215118408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4383313059806824},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.4246130585670471},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4152998924255371},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4117230772972107},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4097585678100586},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3520888686180115},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34534090757369995}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7272131443023682},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.582363486289978},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4964907765388489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4632014334201813},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.45391541719436646},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.4407532215118408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4383313059806824},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.4246130585670471},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4152998924255371},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4117230772972107},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4097585678100586},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3520888686180115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34534090757369995}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspa.2003.1224917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2003.1224917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","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":15,"referenced_works":["https://openalex.org/W1548945281","https://openalex.org/W1975474302","https://openalex.org/W1985424411","https://openalex.org/W2033911870","https://openalex.org/W2072595795","https://openalex.org/W2107790757","https://openalex.org/W2110895563","https://openalex.org/W2115755118","https://openalex.org/W2146378993","https://openalex.org/W2148593155","https://openalex.org/W2148734996","https://openalex.org/W3021168970","https://openalex.org/W4214806317","https://openalex.org/W4240315285","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W68308810","https://openalex.org/W1986475093","https://openalex.org/W1506615375","https://openalex.org/W2053682625","https://openalex.org/W2380372197","https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W1976022598","https://openalex.org/W1967182499","https://openalex.org/W2205192157"],"abstract_inverted_index":{"Wavelet":[0],"transforms":[1],"are":[2,136,160,165],"used":[3],"in":[4,82,110,138],"number":[5],"of":[6,18,32,42,52,66,79,87,157,180,186],"important":[7,24],"signal":[8],"and":[9,25,95,121,183],"image":[10,14],"processing":[11],"tasks":[12],"including":[13],"coding.":[15],"The":[16,55,69,85,113,128,162,168],"choice":[17,41],"the":[19,30,33,40,43,64,67,77,80,118,122,125,139,154,158,172,181,187],"filter":[20,89,102],"bank":[21],"is":[22,26,46,50,58,71,90,115,130],"very":[23],"directly":[27],"linked":[28],"to":[29,38],"efficiency":[31],"compression.":[34],"An":[35],"objective":[36],"criterion":[37,129],"guide":[39],"wavelet":[44,148,188],"filters":[45,134,159],"pro-":[47],"posed.":[48],"It":[49],"composed":[51],"two":[53,173],"indexes.":[54],"first":[56],"one":[57],"a":[59,72,88,91,101,108,111,144,151,177],"frequency":[60,94,119],"index":[61,74,120],"computed":[62,75,131],"from":[63,76],"aliasing":[65],"filters.":[68,149,189],"second":[70,152],"spatial":[73,83,96,126],"spread":[78],"coefficients":[81],"domain.":[84],"quality":[86],"trade-off":[92],"between":[93],"quality.":[97],"From":[98],"these":[99],"indexes":[100,175],"set":[103],"can":[104],"be":[105],"represented":[106,137],"by":[107,117,124],"point":[109],"plan.":[112,141],"abscissa":[114],"given":[116],"ordinate":[123],"index.":[127],"for":[132,146],"various":[133],"that":[135,171],"defined":[140],"This":[142],"gives":[143],"tool":[145],"comparing":[147],"In":[150],"time":[153],"coding":[155,182],"performances":[156,164,185],"estimated.":[161,167],"denoising":[163,184],"also":[166],"results":[169],"shows":[170],"proposed":[174],"allow":[176],"good":[178],"estimation":[179]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
