{"id":"https://openalex.org/W2147833940","doi":"https://doi.org/10.1007/978-3-319-07998-1_13","title":"A Variational Approach for Denoising Hyperspectral Images Corrupted by Poisson Distributed Noise","display_name":"A Variational Approach for Denoising Hyperspectral Images Corrupted by Poisson Distributed Noise","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2147833940","doi":"https://doi.org/10.1007/978-3-319-07998-1_13","mag":"2147833940"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-07998-1_13","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-07998-1_13","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-319-07998-1_13.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-319-07998-1_13.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091608689","display_name":"Ferdinand Deger","orcid":null},"institutions":[{"id":"https://openalex.org/I177064439","display_name":"Universit\u00e9 de Bourgogne","ror":"https://ror.org/03k1bsr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I177064439"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Ferdinand Deger","raw_affiliation_strings":["Le2i, Universit\u00e9 de Bourgogne, Auxerre, France","Norwegian Colour and Visual Computing Laboratory, Gj\u00f8vik University College, Gj\u00f8vik, Norway"],"affiliations":[{"raw_affiliation_string":"Le2i, Universit\u00e9 de Bourgogne, Auxerre, France","institution_ids":["https://openalex.org/I177064439"]},{"raw_affiliation_string":"Norwegian Colour and Visual Computing Laboratory, Gj\u00f8vik University College, Gj\u00f8vik, Norway","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049662606","display_name":"Alamin Mansouri","orcid":"https://orcid.org/0000-0001-9054-3719"},"institutions":[{"id":"https://openalex.org/I177064439","display_name":"Universit\u00e9 de Bourgogne","ror":"https://ror.org/03k1bsr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I177064439"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alamin Mansouri","raw_affiliation_strings":["Le2i, Universit\u00e9 de Bourgogne, Auxerre, France"],"affiliations":[{"raw_affiliation_string":"Le2i, Universit\u00e9 de Bourgogne, Auxerre, France","institution_ids":["https://openalex.org/I177064439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088359880","display_name":"Marius Pedersen","orcid":"https://orcid.org/0000-0001-9797-5821"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marius Pedersen","raw_affiliation_strings":["Norwegian Colour and Visual Computing Laboratory, Gj\u00f8vik University College, Gj\u00f8vik, Norway"],"affiliations":[{"raw_affiliation_string":"Norwegian Colour and Visual Computing Laboratory, Gj\u00f8vik University College, Gj\u00f8vik, Norway","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088139921","display_name":"Jon Yngve Hardeberg","orcid":"https://orcid.org/0000-0003-1150-2498"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jon Yngve Hardeberg","raw_affiliation_strings":["Norwegian Colour and Visual Computing Laboratory, Gj\u00f8vik University College, Gj\u00f8vik, Norway"],"affiliations":[{"raw_affiliation_string":"Norwegian Colour and Visual Computing Laboratory, Gj\u00f8vik University College, Gj\u00f8vik, Norway","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046896003","display_name":"Yvon Voisin","orcid":null},"institutions":[{"id":"https://openalex.org/I177064439","display_name":"Universit\u00e9 de Bourgogne","ror":"https://ror.org/03k1bsr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I177064439"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yvon Voisin","raw_affiliation_strings":["Le2i, Universit\u00e9 de Bourgogne, Auxerre, France"],"affiliations":[{"raw_affiliation_string":"Le2i, Universit\u00e9 de Bourgogne, Auxerre, France","institution_ids":["https://openalex.org/I177064439"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091608689"],"corresponding_institution_ids":["https://openalex.org/I177064439"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":1.1413,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86462882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"106","last_page":"114"},"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":0.9983000159263611,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9944000244140625,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8107503652572632},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7340489625930786},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7230578660964966},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6579662561416626},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5603557825088501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.447870135307312},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4321516156196594},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3671446442604065},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3570587933063507},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3379873037338257},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3299546539783478},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2782832384109497},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06364011764526367}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8107503652572632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7340489625930786},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7230578660964966},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6579662561416626},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5603557825088501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.447870135307312},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4321516156196594},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3671446442604065},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3570587933063507},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3379873037338257},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3299546539783478},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2782832384109497},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06364011764526367}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-07998-1_13","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-07998-1_13","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-319-07998-1_13.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-07998-1_13","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-07998-1_13","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-319-07998-1_13.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327269","display_name":"Conseil r\u00e9gional de Bourgogne-Franche-Comt\u00e9","ror":"https://ror.org/04t9bwz39"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2147833940.pdf","grobid_xml":"https://content.openalex.org/works/W2147833940.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1561506415","https://openalex.org/W2014823423","https://openalex.org/W2033468335","https://openalex.org/W2039596145","https://openalex.org/W2048542430","https://openalex.org/W2062137137","https://openalex.org/W2103559027","https://openalex.org/W2110264793","https://openalex.org/W2120054060","https://openalex.org/W2122192562","https://openalex.org/W2133665775","https://openalex.org/W2141390467","https://openalex.org/W2142058898","https://openalex.org/W2147250327","https://openalex.org/W2160484748"],"related_works":["https://openalex.org/W3211035526","https://openalex.org/W1869808405","https://openalex.org/W3173596272","https://openalex.org/W2028628118","https://openalex.org/W4291701050","https://openalex.org/W2891352623","https://openalex.org/W2972973180","https://openalex.org/W4293272463","https://openalex.org/W2766146978","https://openalex.org/W2547852346"],"abstract_inverted_index":{"Poisson":[0],"distributed":[1,39],"noise,":[2],"such":[3],"as":[4,34,36],"photon":[5],"noise":[6,10],"is":[7,56],"an":[8,46],"important":[9],"source":[11],"in":[12],"multi-":[13],"and":[14,58,61,100],"hyperspectral":[15],"images.":[16],"We":[17],"propose":[18],"a":[19,30,52,76,95],"variational":[20],"based":[21],"denoising":[22],"approach,":[23],"that":[24,55],"accounts":[25],"the":[26,37,68,81,87,90],"vectorial":[27],"structure":[28],"of":[29,89],"spectral":[31],"image":[32],"cube,":[33],"well":[35],"poisson":[38],"noise.":[40],"For":[41],"this":[42],"aim,":[43],"we":[44,74],"extend":[45],"approach":[47,92,97],"for":[48,80],"monochromatic":[49],"images,":[50],"by":[51],"regularisation":[53],"term,":[54],"spectrally":[57],"spatially":[59],"adaptive":[60],"preserves":[62],"edges.":[63],"In":[64],"order":[65],"to":[66,94],"take":[67],"high":[69],"computational":[70],"complexity":[71],"into":[72],"account,":[73],"derive":[75],"Split":[77],"Bregman":[78],"optimisation":[79],"proposed":[82,91],"model.":[83],"The":[84],"results":[85],"show":[86],"advantages":[88],"compared":[93],"marginal":[96],"on":[98],"synthetic":[99],"real":[101],"data.":[102]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
