{"id":"https://openalex.org/W2094007056","doi":"https://doi.org/10.1109/mmsp.2010.5662058","title":"Sigmoid shrinkage for BM3D denoising algorithm","display_name":"Sigmoid shrinkage for BM3D denoising algorithm","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2094007056","doi":"https://doi.org/10.1109/mmsp.2010.5662058","mag":"2094007056"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2010.5662058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2010.5662058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International 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/A5089541594","display_name":"Mariana Poderico","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mariana Poderico","raw_affiliation_strings":["Dipartimento di Ingegneria Elettronica e delle Telecomunicazioni, via Claudio 21, 80125 Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria Elettronica e delle Telecomunicazioni, via Claudio 21, 80125 Naples, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025355334","display_name":"Sara Parrilli","orcid":"https://orcid.org/0000-0002-7225-1269"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sara Parrilli","raw_affiliation_strings":["Dipartimento di Ingegneria Elettronica e delle Telecomunicazioni, via Claudio 21, 80125 Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria Elettronica e delle Telecomunicazioni, via Claudio 21, 80125 Naples, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081981044","display_name":"Giovanni Poggi","orcid":"https://orcid.org/0000-0003-1327-4812"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giovanni Poggi","raw_affiliation_strings":["Dipartimento di Ingegneria Elettronica e delle Telecomunicazioni, via Claudio 21, 80125 Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria Elettronica e delle Telecomunicazioni, via Claudio 21, 80125 Naples, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080842029","display_name":"Luisa Verdoliva","orcid":"https://orcid.org/0000-0001-7286-7963"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luisa Verdoliva","raw_affiliation_strings":["Dipartimento di Ingegneria Elettronica e delle Telecomunicazioni, via Claudio 21, 80125 Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria Elettronica e delle Telecomunicazioni, via Claudio 21, 80125 Naples, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089541594"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6374,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.71607616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"423","last_page":"426"},"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":0.9968000054359436,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9800000190734863,"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/shrinkage","display_name":"Shrinkage","score":0.7682632207870483},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6604540944099426},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.618336021900177},{"id":"https://openalex.org/keywords/cube","display_name":"Cube (algebra)","score":0.6040875911712646},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5660637617111206},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5615743398666382},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5580419301986694},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5577735304832458},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.511260986328125},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49003446102142334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4821188449859619},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.42887449264526367},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.42708516120910645},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4136795401573181},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.3961206376552582},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3953438997268677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31190890073776245},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14462292194366455}],"concepts":[{"id":"https://openalex.org/C180145272","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage","level":2,"score":0.7682632207870483},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6604540944099426},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.618336021900177},{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.6040875911712646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5660637617111206},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5615743398666382},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5580419301986694},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5577735304832458},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.511260986328125},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49003446102142334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4821188449859619},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.42887449264526367},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.42708516120910645},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4136795401573181},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.3961206376552582},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3953438997268677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31190890073776245},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14462292194366455},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"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/mmsp.2010.5662058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2010.5662058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Workshop on Multimedia Signal Processing","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/W1972163814","https://openalex.org/W1973207753","https://openalex.org/W2043022774","https://openalex.org/W2056370875","https://openalex.org/W2082076175","https://openalex.org/W2097073572","https://openalex.org/W2113945798","https://openalex.org/W2124938865","https://openalex.org/W2125527601","https://openalex.org/W2136396015","https://openalex.org/W2155298443","https://openalex.org/W2158940042","https://openalex.org/W2966156373","https://openalex.org/W4214806317","https://openalex.org/W6683204989"],"related_works":["https://openalex.org/W1974392290","https://openalex.org/W1911817635","https://openalex.org/W2353656796","https://openalex.org/W2011915004","https://openalex.org/W2074565401","https://openalex.org/W2242778450","https://openalex.org/W3103566292","https://openalex.org/W3202710143","https://openalex.org/W2380803194","https://openalex.org/W1607924090"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3],"propose":[4],"a":[5,33,47,71,103],"modified":[6,81],"version":[7],"of":[8,21,46,57,64,78,106],"the":[9,19,37,43,62],"BM3D":[10],"algorithm":[11,82],"recently":[12],"introduced":[13],"by":[14,24,51,55,99],"Dabov":[15],"et":[16],"al.":[17],"for":[18],"denoising":[20],"images":[22],"corrupted":[23],"additive":[25],"white":[26],"Gaussian":[27],"noise.":[28],"The":[29,80],"original":[30],"technique":[31],"performs":[32],"multipoint":[34],"filtering,":[35],"where":[36],"nonlocal":[38],"approach":[39],"is":[40,83,95],"combined":[41],"with":[42,86],"wavelet":[44,65],"shrinkage":[45,73],"3D":[48],"cube":[49],"composed":[50],"similar":[52],"patches":[53],"collected":[54],"means":[56],"block-matching.":[58],"Our":[59],"improvement":[60],"concerns":[61],"thresholding":[63],"coefficients,":[66],"which":[67],"are":[68],"subject":[69],"to":[70,88],"different":[72],"depending":[74],"on":[75,102],"their":[76],"level":[77],"sparsity.":[79],"more":[84],"robust":[85],"respect":[87],"block":[89],"matching":[90],"errors,":[91],"especially":[92],"when":[93],"noise":[94],"high,":[96],"as":[97],"proved":[98],"experimental":[100],"results":[101],"large":[104],"set":[105],"natural":[107],"images.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
