{"id":"https://openalex.org/W2119653836","doi":"https://doi.org/10.1109/icassp.2004.1326524","title":"Ringing artifact reduction in the wavelet-based denoising","display_name":"Ringing artifact reduction in the wavelet-based denoising","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W2119653836","doi":"https://doi.org/10.1109/icassp.2004.1326524","mag":"2119653836"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2004.1326524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and 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/A5015230930","display_name":"Gun Shik Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gun Shik Shin","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","[Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"[Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea]","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027284352","display_name":"Moon Gi Kang","orcid":"https://orcid.org/0000-0002-5771-929X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Moon Gi Kang","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","[Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"[Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea]","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5525,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70340295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"iii","last_page":"233"},"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":0.9961000084877014,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9850000143051147,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ringing","display_name":"Ringing","score":0.8189177513122559},{"id":"https://openalex.org/keywords/ringing-artifacts","display_name":"Ringing artifacts","score":0.7930275201797485},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.7807357907295227},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.6658662557601929},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.6261880397796631},{"id":"https://openalex.org/keywords/cascade-algorithm","display_name":"Cascade algorithm","score":0.6216463446617126},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.617030918598175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6141404509544373},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6064399480819702},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5756891369819641},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.4955796003341675},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4692801237106323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4655474126338959},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.4544844627380371},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.4456697106361389},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3338662385940552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27127939462661743},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19603005051612854},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.11269485950469971}],"concepts":[{"id":"https://openalex.org/C30684385","wikidata":"https://www.wikidata.org/wiki/Q176509","display_name":"Ringing","level":3,"score":0.8189177513122559},{"id":"https://openalex.org/C17828673","wikidata":"https://www.wikidata.org/wiki/Q7334899","display_name":"Ringing artifacts","level":3,"score":0.7930275201797485},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7807357907295227},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.6658662557601929},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.6261880397796631},{"id":"https://openalex.org/C88829872","wikidata":"https://www.wikidata.org/wiki/Q5048176","display_name":"Cascade algorithm","level":5,"score":0.6216463446617126},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.617030918598175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6141404509544373},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6064399480819702},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5756891369819641},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.4955796003341675},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4692801237106323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4655474126338959},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.4544844627380371},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4456697106361389},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3338662385940552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27127939462661743},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19603005051612854},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.11269485950469971},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2004.1326524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W59771946","https://openalex.org/W1975358183","https://openalex.org/W2049909233","https://openalex.org/W2065391104","https://openalex.org/W2101243183","https://openalex.org/W2133441707","https://openalex.org/W2146842127","https://openalex.org/W2152047336","https://openalex.org/W2157827154","https://openalex.org/W2166650389","https://openalex.org/W2170885533","https://openalex.org/W4302366751","https://openalex.org/W6675433199"],"related_works":["https://openalex.org/W2059234650","https://openalex.org/W2085792030","https://openalex.org/W2144834862","https://openalex.org/W2362207432","https://openalex.org/W3187027916","https://openalex.org/W2391053410","https://openalex.org/W2358271565","https://openalex.org/W1889651196","https://openalex.org/W2379658089","https://openalex.org/W68308810"],"abstract_inverted_index":{"Wavelet":[0],"is":[1,16,54,77],"a":[2,17,36,40,44,49,55],"well-known":[3],"noise":[4],"reduction":[5,66,98],"tool":[6],"for":[7,58],"its":[8,75],"several":[9],"nice":[10],"properties.":[11],"Since":[12,74],"the":[13,29,70,78,81,104],"wavelet":[14,72,82],"domain":[15],"kind":[18],"of":[19,31,80],"transform":[20],"domain,":[21],"thresholding":[22],"in":[23,39],"it":[24,53],"can":[25],"cause":[26],"problems":[27],"at":[28],"neighborhood":[30],"discontinuous":[32],"points,":[33],"seen":[34],"as":[35],"ringing":[37,65,97,109],"artifact":[38],"2D":[41],"image.":[42],"In":[43],"low-bit":[45],"rate":[46],"network":[47],"and":[48,92],"heavy":[50],"error-prone":[51],"environment,":[52],"serious":[56],"problem":[57],"an":[59,63],"end-user.":[60],"We":[61],"propose":[62],"efficient":[64],"algorithm":[67,86,106],"based":[68],"on":[69],"standard":[71],"decomposition.":[73],"structure":[76],"reverse":[79],"denoising":[83],"method,":[84],"our":[85],"has":[87],"advantages":[88],"regarding":[89],"computational":[90],"load":[91],"memory":[93],"efficiency":[94],"over":[95],"other":[96],"filters.":[99],"Experimental":[100],"results":[101],"show":[102],"that":[103],"proposed":[105],"dramatically":[107],"reduces":[108],"along":[110],"edges.":[111]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}