{"id":"https://openalex.org/W1541475773","doi":"https://doi.org/10.1109/icassp.2005.1416073","title":"The Finer Directional Wavelet Transform","display_name":"The Finer Directional Wavelet Transform","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W1541475773","doi":"https://doi.org/10.1109/icassp.2005.1416073","mag":"1541475773"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1416073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1416073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","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/A5035705032","display_name":"Yue L\u00fc","orcid":"https://orcid.org/0000-0001-6827-8146"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I183874917","display_name":"Urbana University","ror":"https://ror.org/04kp3hw27","country_code":"US","type":"education","lineage":["https://openalex.org/I183874917"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yue Lu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, Urbana-Champaign, IL, USA","Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA","institution_ids":["https://openalex.org/I183874917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109045136","display_name":"M.N. Do","orcid":null},"institutions":[{"id":"https://openalex.org/I183874917","display_name":"Urbana University","ror":"https://ror.org/04kp3hw27","country_code":"US","type":"education","lineage":["https://openalex.org/I183874917"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minh N. Do","raw_affiliation_strings":["Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA","institution_ids":["https://openalex.org/I183874917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4384,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.89905902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"4","issue":null,"first_page":"573","last_page":"576"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9944000244140625,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9768000245094299,"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-transform","display_name":"Wavelet transform","score":0.7987285256385803},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.755987286567688},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.7384114265441895},{"id":"https://openalex.org/keywords/harmonic-wavelet-transform","display_name":"Harmonic wavelet transform","score":0.7358652353286743},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.672649085521698},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.6476160883903503},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.6212121844291687},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.5510537624359131},{"id":"https://openalex.org/keywords/s-transform","display_name":"S transform","score":0.5259226560592651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44628167152404785},{"id":"https://openalex.org/keywords/constant-q-transform","display_name":"Constant Q transform","score":0.4462170898914337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.432127982378006},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4135282635688782},{"id":"https://openalex.org/keywords/continuous-wavelet-transform","display_name":"Continuous wavelet transform","score":0.41302254796028137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4073615074157715},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3953131437301636}],"concepts":[{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.7987285256385803},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.755987286567688},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.7384114265441895},{"id":"https://openalex.org/C1109138","wikidata":"https://www.wikidata.org/wiki/Q3280930","display_name":"Harmonic wavelet transform","level":5,"score":0.7358652353286743},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.672649085521698},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.6476160883903503},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.6212121844291687},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.5510537624359131},{"id":"https://openalex.org/C99234102","wikidata":"https://www.wikidata.org/wiki/Q7395403","display_name":"S transform","level":5,"score":0.5259226560592651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44628167152404785},{"id":"https://openalex.org/C153705960","wikidata":"https://www.wikidata.org/wiki/Q5163634","display_name":"Constant Q transform","level":5,"score":0.4462170898914337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.432127982378006},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4135282635688782},{"id":"https://openalex.org/C95722684","wikidata":"https://www.wikidata.org/wiki/Q2622756","display_name":"Continuous wavelet transform","level":5,"score":0.41302254796028137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4073615074157715},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3953131437301636}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2005.1416073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1416073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.212.5930","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.212.5930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ifp.uiuc.edu/~minhdo/publications/fdw_icassp.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1481646516","https://openalex.org/W2120041316","https://openalex.org/W2129276048","https://openalex.org/W2131408363","https://openalex.org/W2144932102"],"related_works":["https://openalex.org/W2222331773","https://openalex.org/W237185286","https://openalex.org/W2045970078","https://openalex.org/W2178843752","https://openalex.org/W1986754283","https://openalex.org/W2355126204","https://openalex.org/W2094847008","https://openalex.org/W4205914001","https://openalex.org/W2033011841","https://openalex.org/W2363944003"],"abstract_inverted_index":{"Directional":[0],"information":[1],"is":[2,86],"an":[3,104],"important":[4],"and":[5,70,88],"unique":[6],"feature":[7],"of":[8,14],"multidimensional":[9,22],"signals.":[10],"As":[11],"a":[12,15,43,54],"result":[13],"separable":[16],"extension":[17],"from":[18],"1D":[19,109],"bases,":[20],"the":[21,58,62,80,83,100],"wavelet":[23,36,59,81],"transform":[24,45,85,102],"has":[25,103],"very":[26],"limited":[27],"directionality.":[28],"Furthermore,":[29],"different":[30],"directions":[31],"are":[32],"mixed":[33],"in":[34,98],"certain":[35],"subbands.":[37],"In":[38,61],"this":[39,48],"paper,":[40],"we":[41],"propose":[42],"new":[44],"that":[46],"fixes":[47],"frequency":[49],"mixing":[50],"problem":[51],"by":[52],"using":[53],"simple":[55],"\"add-on\"":[56],"to":[57,93],"transform.":[60],"2D":[63],"case,":[64],"it":[65],"provides":[66],"one":[67],"lowpass":[68],"subband":[69],"six":[71],"directional":[72],"highpass":[73],"subbands":[74],"at":[75],"each":[76],"scale.":[77],"Just":[78],"like":[79],"transform,":[82],"proposed":[84,101],"nonredundant,":[87],"can":[89],"be":[90],"easily":[91],"extended":[92],"higher":[94],"dimensions.":[95],"Though":[96],"nonseparable":[97],"essence,":[99],"efficient":[105],"implementation":[106],"based":[107],"on":[108],"operations":[110],"only.":[111]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}