{"id":"https://openalex.org/W2118602971","doi":"https://doi.org/10.1109/icip.2009.5414056","title":"Weighted average denoising with Sparse Orthonormal Transforms","display_name":"Weighted average denoising with Sparse Orthonormal Transforms","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2118602971","doi":"https://doi.org/10.1109/icip.2009.5414056","mag":"2118602971"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5414056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5414056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","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/A5006439844","display_name":"Osman G. Sezer","orcid":"https://orcid.org/0000-0002-4938-9761"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Osman G. Sezer","raw_affiliation_strings":["Center for Signal and Image Processing, Georgia Institute of Technology, Atlanta, GA, USA","Center for Signal and Image Processing, Georgia Institute of Technology, Atlanta, 30308, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Signal and Image Processing, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Center for Signal and Image Processing, Georgia Institute of Technology, Atlanta, 30308, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083265370","display_name":"Y. Altunbasak","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yucel Altunbasak","raw_affiliation_strings":["Center for Signal and Image Processing, Georgia Institute of Technology, Atlanta, GA, USA","Center for Signal and Image Processing, Georgia Institute of Technology, Atlanta, 30308, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Signal and Image Processing, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Center for Signal and Image Processing, Georgia Institute of Technology, Atlanta, 30308, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.15375826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3849","last_page":"3852"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":1.0,"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":1.0,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976000189781189,"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/orthonormal-basis","display_name":"Orthonormal basis","score":0.8593511581420898},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.701896071434021},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6174026727676392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5757799744606018},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5363565683364868},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5139214992523193},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5053616166114807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48992103338241577},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4375531077384949},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.43609312176704407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3986652195453644},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3118305206298828}],"concepts":[{"id":"https://openalex.org/C5806529","wikidata":"https://www.wikidata.org/wiki/Q2365325","display_name":"Orthonormal basis","level":2,"score":0.8593511581420898},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.701896071434021},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6174026727676392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5757799744606018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5363565683364868},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5139214992523193},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5053616166114807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48992103338241577},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4375531077384949},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.43609312176704407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3986652195453644},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3118305206298828},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5414056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5414056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8299999833106995,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W59771946","https://openalex.org/W1976625337","https://openalex.org/W2009190824","https://openalex.org/W2056370875","https://openalex.org/W2061310904","https://openalex.org/W2099244020","https://openalex.org/W2113945798","https://openalex.org/W2124276741","https://openalex.org/W2126683262","https://openalex.org/W2153663612","https://openalex.org/W2158940042","https://openalex.org/W2498840900","https://openalex.org/W4214806317","https://openalex.org/W4300440207"],"related_works":["https://openalex.org/W2133587243","https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W4312627788","https://openalex.org/W2353444452","https://openalex.org/W2001438600"],"abstract_inverted_index":{"Sparse":[0],"orthonormal":[1,38],"transforms":[2],"(SOT)":[3],"has":[4],"recently":[5],"been":[6],"proposed":[7],"as":[8],"a":[9,79],"data":[10],"compression":[11],"method":[12,26,80],"that":[13,67],"can":[14,50],"achieve":[15],"sparser":[16],"representations":[17],"in":[18],"transform":[19,39],"domain.":[20],"Given":[21],"initial":[22],"conditions,":[23],"the":[24,30,36,44,56,83],"optimization":[25],"utilized":[27],"to":[28,54,81,91],"generate":[29],"dictionary":[31,53],"of":[32,46],"SOT":[33],"also":[34],"achieves":[35],"optimal":[37],"for":[40,66],"hard":[41,70],"thresholding.":[42,71],"In":[43],"context":[45],"translation-invariant":[47],"denoising,":[48],"one":[49],"use":[51],"this":[52,74],"represent":[55],"local":[57],"neighborhood":[58,68],"around":[59],"each":[60],"pixel":[61],"and":[62],"obtain":[63],"denoised":[64,85,94],"estimates":[65,86],"with":[69],"Building":[72],"upon":[73],"approach,":[75],"here":[76],"we":[77],"propose":[78],"fuse":[82],"overlapping":[84],"via":[87],"weighted":[88],"linear":[89],"averaging":[90],"compute":[92],"final":[93],"signal.":[95]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
