{"id":"https://openalex.org/W2128729513","doi":"https://doi.org/10.1109/mmsp.2008.4665075","title":"Distortion evaluation in transform domain for adaptive lifting schemes","display_name":"Distortion evaluation in transform domain for adaptive lifting schemes","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2128729513","doi":"https://doi.org/10.1109/mmsp.2008.4665075","mag":"2128729513"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2008.4665075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2008.4665075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 10th Workshop on Multimedia Signal Processing","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/A5025355334","display_name":"Sara Parrilli","orcid":"https://orcid.org/0000-0002-7225-1269"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Sara Parrilli","raw_affiliation_strings":["DIET, Universit\u00e1 degli Studi Napoli Federico II, Napoli, Italy","DIET, Univ. degli Studi di Napoli Federico II, Napoli"],"affiliations":[{"raw_affiliation_string":"DIET, Universit\u00e1 degli Studi Napoli Federico II, Napoli, Italy","institution_ids":["https://openalex.org/I71267560"]},{"raw_affiliation_string":"DIET, Univ. degli Studi di Napoli Federico II, Napoli","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042732174","display_name":"Marco Cagnazzo","orcid":"https://orcid.org/0000-0001-6731-3755"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marco Cagnazzo","raw_affiliation_strings":["Department TSI, Telecom ParisTech, Paris, France","Dept. TSI, Telecom ParisTech, Paris"],"affiliations":[{"raw_affiliation_string":"Department TSI, Telecom ParisTech, Paris, France","institution_ids":["https://openalex.org/I12356871"]},{"raw_affiliation_string":"Dept. TSI, Telecom ParisTech, Paris","institution_ids":["https://openalex.org/I12356871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106469946","display_name":"B\u00e9atrice Pesquet\u2010Popescu","orcid":null},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Beatrice Pesquet-Popescu","raw_affiliation_strings":["Department TSI, Telecom ParisTech, Paris, France","Dept. TSI, Telecom ParisTech, Paris"],"affiliations":[{"raw_affiliation_string":"Department TSI, Telecom ParisTech, Paris, France","institution_ids":["https://openalex.org/I12356871"]},{"raw_affiliation_string":"Dept. TSI, Telecom ParisTech, Paris","institution_ids":["https://openalex.org/I12356871"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025355334"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":2.8094,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91404822,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"25","issue":null,"first_page":"200","last_page":"205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9994999766349792,"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":0.9962000250816345,"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/distortion","display_name":"Distortion (music)","score":0.7040929794311523},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5808322429656982},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.49218836426734924},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.48003995418548584},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.45910975337028503},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45880404114723206},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4479922950267792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4387553632259369},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4211670160293579},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.2694209814071655},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.26060187816619873},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.20725420117378235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1719493269920349},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11281630396842957},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11267194151878357},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09603860974311829},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.07040074467658997}],"concepts":[{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7040929794311523},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5808322429656982},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.49218836426734924},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.48003995418548584},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.45910975337028503},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45880404114723206},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4479922950267792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4387553632259369},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4211670160293579},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2694209814071655},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.26060187816619873},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.20725420117378235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1719493269920349},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11281630396842957},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11267194151878357},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09603860974311829},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.07040074467658997},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mmsp.2008.4665075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2008.4665075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 10th Workshop on Multimedia Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3471472","is_oa":false,"landing_page_url":"https://hdl.handle.net/11577/3471472","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1485280399","https://openalex.org/W1634005169","https://openalex.org/W1977980950","https://openalex.org/W2019995276","https://openalex.org/W2020819838","https://openalex.org/W2053691921","https://openalex.org/W2096613063","https://openalex.org/W2117853853","https://openalex.org/W2118217749","https://openalex.org/W2132441534","https://openalex.org/W2132573196","https://openalex.org/W2137216748","https://openalex.org/W2142276208","https://openalex.org/W2145263492","https://openalex.org/W2164766809","https://openalex.org/W2169997788","https://openalex.org/W4302366751"],"related_works":["https://openalex.org/W1588899229","https://openalex.org/W2152792848","https://openalex.org/W2386482837","https://openalex.org/W2371385084","https://openalex.org/W2069650205","https://openalex.org/W2099063567","https://openalex.org/W1976022598","https://openalex.org/W2025989299","https://openalex.org/W2039128285","https://openalex.org/W2355889335"],"abstract_inverted_index":{"In":[0],"this":[1,64],"paper":[2],"we":[3,59,73],"study":[4],"the":[5,9,13,24,42,61,75,84,92,95],"problem":[6],"of":[7,63,91],"evaluating":[8],"reconstruction":[10],"distortion":[11,30,56,76,93],"in":[12,34,94,100],"wavelet":[14],"domain":[15],"when":[16],"adaptive":[17],"lifting":[18],"schemes":[19],"(ALS)":[20],"are":[21],"used":[22],"for":[23,55],"direct":[25],"and":[26,72],"inverse":[27],"transform.":[28],"The":[29],"evaluation":[31],"is":[32,46],"necessary":[33],"order":[35],"to":[36,79],"perform":[37],"efficient":[38],"resource":[39],"allocation":[40],"over":[41],"transform":[43,96],"coefficients.":[44],"ALS":[45],"a":[47,68,88],"non-linear":[48,65],"transformation,":[49],"which":[50],"prevents":[51],"using":[52],"common":[53],"techniques":[54],"evaluation.":[57],"However":[58],"show":[60,82],"equivalence":[62],"scheme":[66],"with":[67],"time-varying":[69],"linear":[70],"filter,":[71],"generalize":[74],"computation":[77],"technique":[78],"it.":[80],"Experiments":[81],"that":[83],"proposed":[85],"method":[86],"allows":[87],"reliable":[89],"estimation":[90],"domain.":[97],"This":[98],"results":[99],"improved":[101],"coding":[102],"performance.":[103]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}