{"id":"https://openalex.org/W2134188323","doi":"https://doi.org/10.1109/icassp.2006.1660284","title":"Multi-Scale Variance Stabilizing Transform for Multi-Dimensional Poisson Count Image Denoising","display_name":"Multi-Scale Variance Stabilizing Transform for Multi-Dimensional Poisson Count Image Denoising","publication_year":2006,"publication_date":"2006-08-03","ids":{"openalex":"https://openalex.org/W2134188323","doi":"https://doi.org/10.1109/icassp.2006.1660284","mag":"2134188323"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1660284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1660284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-00017925","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046324080","display_name":"B. Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I157536573","display_name":"Institut Pasteur","ror":"https://ror.org/0495fxg12","country_code":"FR","type":"nonprofit","lineage":["https://openalex.org/I157536573"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"B. Zhang","raw_affiliation_strings":["Quantitative Image Analysis Unit, Institut Pasteur, Paris, France","Quantitative Image Analysis Unit, Institut Pasteur, 75724 Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quantitative Image Analysis Unit, Institut Pasteur, Paris, France","institution_ids":["https://openalex.org/I157536573"]},{"raw_affiliation_string":"Quantitative Image Analysis Unit, Institut Pasteur, 75724 Paris, France","institution_ids":["https://openalex.org/I157536573"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109215397","display_name":"M.J. Fadili","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210139483","display_name":"GREYC","ror":"https://ror.org/043749971","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I194210350","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210139483","https://openalex.org/I4210159245","https://openalex.org/I98702875"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M.J. Fadili","raw_affiliation_strings":["GREYC UMR CNRS 6072, Caen, France","Equipe Image - Laboratoire GREYC - UMR6072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GREYC UMR CNRS 6072, Caen, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210139483"]},{"raw_affiliation_string":"Equipe Image - Laboratoire GREYC - UMR6072","institution_ids":["https://openalex.org/I4210139483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008794792","display_name":"Jean\u2010Luc Starck","orcid":"https://orcid.org/0000-0003-2177-7794"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210127723","display_name":"Direction des Energies","ror":"https://ror.org/03cwzta72","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I4210127723"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I4210165232","display_name":"Institut de Recherche sur les Lois Fondamentales de l'Univers","ror":"https://ror.org/05k705z76","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210113668","https://openalex.org/I4210165232"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J.-L. Starck","raw_affiliation_strings":["DAPNIA SEDI SAP CEA Saclay, Gif-sur-Yvette, France","Institut de Recherches sur les lois Fondamentales de l'Univers"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAPNIA SEDI SAP CEA Saclay, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210127723","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"Institut de Recherches sur les lois Fondamentales de l'Univers","institution_ids":["https://openalex.org/I4210165232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8962,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86894709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9728000164031982,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9523000121116638,"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/poisson-distribution","display_name":"Poisson distribution","score":0.7444013357162476},{"id":"https://openalex.org/keywords/isotropy","display_name":"Isotropy","score":0.5856934785842896},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5743129253387451},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.550930380821228},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5351287722587585},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.529880166053772},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5192749500274658},{"id":"https://openalex.org/keywords/lambda","display_name":"Lambda","score":0.5168076753616333},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4805072546005249},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4747641086578369},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4602805972099304},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38300538063049316},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.35927215218544006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3500238060951233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3134228587150574},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2582264244556427},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.19096925854682922},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09405902028083801},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07523337006568909}],"concepts":[{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.7444013357162476},{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.5856934785842896},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5743129253387451},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.550930380821228},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5351287722587585},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.529880166053772},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5192749500274658},{"id":"https://openalex.org/C2778113609","wikidata":"https://www.wikidata.org/wiki/Q10897","display_name":"Lambda","level":2,"score":0.5168076753616333},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4805072546005249},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4747641086578369},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4602805972099304},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38300538063049316},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35927215218544006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3500238060951233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3134228587150574},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2582264244556427},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.19096925854682922},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09405902028083801},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07523337006568909},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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":2,"locations":[{"id":"doi:10.1109/icassp.2006.1660284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1660284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00017925v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00017925","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE ICASSP, May 2006, Toulouse, France. 4 pp, &#x27E8;10.1109/ICASSP.2006.1660284&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00017925v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00017925","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE ICASSP, May 2006, Toulouse, France. 4 pp, &#x27E8;10.1109/ICASSP.2006.1660284&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W7353069","https://openalex.org/W1596515083","https://openalex.org/W1663272054","https://openalex.org/W1972831993","https://openalex.org/W2012429891","https://openalex.org/W2021262032","https://openalex.org/W2048119506","https://openalex.org/W2060637162","https://openalex.org/W2069733578","https://openalex.org/W2079797700","https://openalex.org/W2091204528","https://openalex.org/W2091565546","https://openalex.org/W2095294591","https://openalex.org/W2097236922","https://openalex.org/W2135236030","https://openalex.org/W2161626445","https://openalex.org/W2170646598","https://openalex.org/W2802366655","https://openalex.org/W3216100919","https://openalex.org/W4230339119","https://openalex.org/W4245686449","https://openalex.org/W4250507776","https://openalex.org/W4375802365","https://openalex.org/W6600298901","https://openalex.org/W6750995051"],"related_works":["https://openalex.org/W2794789911","https://openalex.org/W4298134547","https://openalex.org/W2122976425","https://openalex.org/W2088773039","https://openalex.org/W2951695430","https://openalex.org/W4382753160","https://openalex.org/W2284229495","https://openalex.org/W2028697747","https://openalex.org/W4300891849","https://openalex.org/W4388682528"],"abstract_inverted_index":{"We":[0,94,117],"propose":[1],"in":[2,123],"this":[3],"paper":[4],"a":[5,19,29,119],"multi-scale":[6],"variance":[7,17],"stabilizing":[8,15],"transform":[9,110],"(MSVST)":[10],"for":[11,70,79,90],"approximately":[12],"Gaussianizing":[13],"and":[14,47,83,131,134],"the":[16,58,97,102,106,124,129,137,142,147],"of":[18,21,105,112,153],"sequence":[20],"independent":[22],"Poisson":[23,114,148],"random":[24],"variables":[25],"(RVs)":[26],"filtered":[27],"by":[28],"low-pass":[30,88],"linear":[31],"filter.":[32],"This":[33],"approach":[34,155],"is":[35,55,156],"shown":[36,56],"to":[37,43,50,100,127,140],"be":[38,65,166],"fast,":[39],"very":[40],"well":[41],"adapted":[42],"extremely":[44],"low-count":[45],"situations":[46],"easily":[48],"applicable":[49],"any":[51],"dimensional":[52],"data.":[53,116,149],"It":[54],"that":[57],"RV":[59],"transformed":[60],"using":[61,76,84],"Anscombe":[62],"VST":[63,78,86],"can":[64],"reasonably":[66],"considered":[67],"as":[68],"stabilized":[69,132],"an":[71,159],"intensity":[72,144],"lambda":[73,80,91],"gsim":[74,81,92],"10,":[75],"Fisz":[77],"1":[82],"our":[85,154],"(after":[87],"filtering)":[89],"0.1.":[93],"then":[95,135],"use":[96,118],"MSVST":[98],"technique":[99],"stabilize":[101],"detail":[103],"coefficients":[104],"isotropic":[107,163],"undecimated":[108],"wavelet":[109,125],"(IUWT)":[111],"multi-dimensional":[113],"count":[115],"hypothesis":[120],"testing":[121],"framework":[122],"domain":[126],"denoise":[128],"Gaussianized":[130],"coefficients,":[133],"apply":[136],"inverse":[138],"MSVST-IUWT":[139],"get":[141],"estimated":[143],"image":[145],"underlying":[146],"Finally,":[150],"potential":[151],"applicability":[152],"illustrated":[157],"on":[158],"astronomical":[160],"example":[161],"where":[162],"structures":[164],"must":[165],"recovered":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
