{"id":"https://openalex.org/W2038705179","doi":"https://doi.org/10.1109/icassp.2008.4517721","title":"Image deconvolution under poisson noise using sparse representations and proximal thresholding iteration","display_name":"Image deconvolution under poisson noise using sparse representations and proximal thresholding iteration","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2038705179","doi":"https://doi.org/10.1109/icassp.2008.4517721","mag":"2038705179"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2008.4517721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4517721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/0802.0993","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008108160","display_name":"Fran\u00e7ois-Xavier Dup\u00e9","orcid":"https://orcid.org/0000-0002-0697-2981"},"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":"F. -X. Dupe","raw_affiliation_strings":["GREYC UMR CNRS 6072, Caen, France","GREYC-UMR-CNRS, Caen"],"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":"GREYC-UMR-CNRS, Caen","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210139483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111915718","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","GREYC-UMR-CNRS, Caen"],"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":"GREYC-UMR-CNRS, Caen","institution_ids":["https://openalex.org/I1294671590","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/I127558574","display_name":"DSM (Netherlands)","ror":"https://ror.org/00k01kt20","country_code":"NL","type":"company","lineage":["https://openalex.org/I127558574"]},{"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"]}],"countries":["FR","NL"],"is_corresponding":false,"raw_author_name":"J.-L. Starck","raw_affiliation_strings":["DAPNIA/SEDI-SAP CEA-Saclay, Gif-sur-Yvette, France","DAPNIA-SEDI-SAP, CEA-Saclay, Gif-sur-Yvette"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAPNIA/SEDI-SAP CEA-Saclay, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I127558574","https://openalex.org/I2738703131","https://openalex.org/I4210127723","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"DAPNIA-SEDI-SAP, CEA-Saclay, Gif-sur-Yvette","institution_ids":["https://openalex.org/I4210128565"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.8579,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.97263606,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"761","last_page":"764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"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/deconvolution","display_name":"Deconvolution","score":0.7096174955368042},{"id":"https://openalex.org/keywords/shot-noise","display_name":"Shot noise","score":0.5851513743400574},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5415414571762085},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5406152606010437},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4960404336452484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4913460314273834},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.4801720678806305},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4612084925174713},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.45559218525886536},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4543019235134125},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.43472468852996826},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.41870737075805664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41545435786247253},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3614259660243988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2645522356033325},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2617368698120117},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.12917602062225342},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11751753091812134}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.7096174955368042},{"id":"https://openalex.org/C72659945","wikidata":"https://www.wikidata.org/wiki/Q1503574","display_name":"Shot noise","level":3,"score":0.5851513743400574},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5415414571762085},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5406152606010437},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4960404336452484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4913460314273834},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.4801720678806305},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4612084925174713},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.45559218525886536},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4543019235134125},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.43472468852996826},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.41870737075805664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41545435786247253},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3614259660243988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2645522356033325},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2617368698120117},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12917602062225342},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11751753091812134},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/icassp.2008.4517721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4517721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:0802.0993","is_oa":true,"landing_page_url":"http://arxiv.org/abs/0802.0993","pdf_url":"https://arxiv.org/pdf/0802.0993","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.243.2385","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.243.2385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/0802.0993v1.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.243.3002","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.243.3002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/0802.0993v2.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00243126v3","is_oa":true,"landing_page_url":"https://hal.science/hal-00243126","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":"International Conference on Acoustics, Speech, and Signal Processing, Mar 2008, Las Vegas, United States","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.0802.0993","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.0802.0993","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:0802.0993","is_oa":true,"landing_page_url":"http://arxiv.org/abs/0802.0993","pdf_url":"https://arxiv.org/pdf/0802.0993","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1663272054","https://openalex.org/W1983579205","https://openalex.org/W2006262045","https://openalex.org/W2049355055","https://openalex.org/W2082352113","https://openalex.org/W2099554640","https://openalex.org/W2108454251","https://openalex.org/W2115706991","https://openalex.org/W2140598595","https://openalex.org/W2142280715","https://openalex.org/W2167439109","https://openalex.org/W2765202580","https://openalex.org/W6680934908","https://openalex.org/W6745193812"],"related_works":["https://openalex.org/W2364399933","https://openalex.org/W2026824768","https://openalex.org/W2555730586","https://openalex.org/W189037341","https://openalex.org/W1978749115","https://openalex.org/W2118587210","https://openalex.org/W2116498084","https://openalex.org/W2903565072","https://openalex.org/W2499334499","https://openalex.org/W2147704231"],"abstract_inverted_index":{"We":[0,111],"propose":[1],"an":[2],"image":[3,15,92],"deconvolution":[4,66,161],"algorithm":[5,103],"when":[6],"the":[7,31,43,49,65,71,82,91,108,118,124,134,142,146],"data":[8],"is":[9,18,68,104],"contaminated":[10],"by":[11,47],"Poisson":[12,44,143],"noise.":[13,63,147],"The":[14],"to":[16,20,55,106,132],"restore":[17],"assumed":[19],"be":[21,157],"sparsely":[22],"represented":[23],"in":[24,159],"a":[25,56,74,78,86,98],"dictionary":[26],"of":[27,73,117,123,145],"waveforms":[28],"such":[29],"as":[30,70],"wavelet":[32],"or":[33,165],"curvelet":[34],"transform.":[35],"Our":[36],"key":[37],"innovations":[38],"are:":[39],"First,":[40],"we":[41],"handle":[42],"noise":[45,83],"properly":[46],"using":[48,153],"Anscombe":[50],"variance":[51],"stabilizing":[52],"transform":[53],"leading":[54],"non-linear":[57],"degradation":[58],"equation":[59],"with":[60,77],"additive":[61],"Gaussian":[62],"Second,":[64],"problem":[67],"formulated":[69],"minimization":[72,109],"convex":[75],"functional":[76],"data-fidelity":[79],"term":[80],"reflecting":[81],"properties,":[84],"and":[85,114,120],"non-smooth":[87],"sparsity-promoting":[88],"penalties":[89],"over":[90],"representation":[93],"coefficients":[94],"(e.g.":[95],"l1-norm).":[96],"Third,":[97],"fast":[99],"iterative":[100,125],"backward-forward":[101],"splitting":[102],"proposed":[105],"solve":[107],"problem.":[110],"derive":[112],"existence":[113],"uniqueness":[115],"conditions":[116],"solution,":[119],"establish":[121],"convergence":[122],"algorithm.":[126],"Experimental":[127],"results":[128,149],"are":[129],"carried":[130],"out":[131],"show":[133],"striking":[135],"benefits":[136],"gained":[137],"from":[138],"taking":[139],"into":[140],"account":[141],"statistics":[144],"These":[148],"also":[150],"suggest":[151],"that":[152],"sparse-domain":[154],"regularization":[155],"may":[156],"tractable":[158],"many":[160],"applications,":[162],"e.g.":[163],"astronomy":[164],"microscopy.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}