{"id":"https://openalex.org/W2294479150","doi":"https://doi.org/10.1109/icip.2015.7351056","title":"Image denoising in multiplicative noise","display_name":"Image denoising in multiplicative noise","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2294479150","doi":"https://doi.org/10.1109/icip.2015.7351056","mag":"2294479150"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5005652970","display_name":"Chandra Sekhar Seelamantula","orcid":"https://orcid.org/0000-0001-9049-1912"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Chandra Sekhar Seelamantula","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, Karnataka, India","Department of Electrical Engineering, Indian Institute of Science Bangalore - 560 012, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, Karnataka, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science Bangalore - 560 012, Karnataka, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111887659","display_name":"T. Blu","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Thierry Blu","raw_affiliation_strings":["Department of Electronic Engineering, The Chinese University of Hong Kong, Sha Tin, New Territories, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong, Sha Tin, New Territories, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005652970"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.3744,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.7097378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1528","last_page":"1532"},"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":0.9970999956130981,"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":0.9948999881744385,"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/noise-reduction","display_name":"Noise reduction","score":0.7276848554611206},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.590381383895874},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5779143571853638},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5428512096405029},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5127311944961548},{"id":"https://openalex.org/keywords/multiplicative-noise","display_name":"Multiplicative noise","score":0.5100429654121399},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.47763052582740784},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45330628752708435},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.42854374647140503},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.42097800970077515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4199278652667999},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4051147699356079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3875056207180023},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3297044336795807},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32509398460388184},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.08088445663452148}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7276848554611206},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.590381383895874},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5779143571853638},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5428512096405029},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5127311944961548},{"id":"https://openalex.org/C18015164","wikidata":"https://www.wikidata.org/wiki/Q6935000","display_name":"Multiplicative noise","level":5,"score":0.5100429654121399},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.47763052582740784},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45330628752708435},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.42854374647140503},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.42097800970077515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4199278652667999},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4051147699356079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3875056207180023},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3297044336795807},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32509398460388184},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.08088445663452148},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.0},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2015.7351056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.iisc.ac.in:53843","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196309","display_name":"NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.723.3630","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.723.3630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ee.cuhk.edu.hk/%7Etblu/monsite/pdfs/seelamantula1501.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W112727521","https://openalex.org/W137864573","https://openalex.org/W1602107991","https://openalex.org/W1998339281","https://openalex.org/W2010825468","https://openalex.org/W2011516671","https://openalex.org/W2012489043","https://openalex.org/W2013388817","https://openalex.org/W2065267700","https://openalex.org/W2074319623","https://openalex.org/W2099970996","https://openalex.org/W2104763670","https://openalex.org/W2111899019","https://openalex.org/W2117294245","https://openalex.org/W2125384310","https://openalex.org/W2140742952","https://openalex.org/W2145876651","https://openalex.org/W2162457349","https://openalex.org/W2164269633","https://openalex.org/W3105835428","https://openalex.org/W3122764147","https://openalex.org/W6605591315","https://openalex.org/W6635873946","https://openalex.org/W6653150422","https://openalex.org/W6654017244","https://openalex.org/W6675219372"],"related_works":["https://openalex.org/W3108403339","https://openalex.org/W2949211747","https://openalex.org/W2162712524","https://openalex.org/W1652574860","https://openalex.org/W2066798134","https://openalex.org/W4287867034","https://openalex.org/W3117890846","https://openalex.org/W2142924612","https://openalex.org/W3005783148","https://openalex.org/W4312518509"],"abstract_inverted_index":{"We":[0,39,102,155],"address":[1],"the":[2,25,31,41,56,76,81,87,111,128,142,151,166,175],"problem":[3],"of":[4,27,34,55,86,93,168],"denoising":[5,71,88,118,157,169],"images":[6,35],"corrupted":[7],"by":[8,79,99],"multiplicative":[9,28,60],"noise.":[10],"The":[11,58,70,84],"noise":[12,23,29,61,140,161],"is":[13,36,65,73,106,171],"assumed":[14],"to":[15,67,110,127],"follow":[16],"a":[17,91],"Gamma":[18],"distribution.":[19],"Compared":[20],"with":[21,123,174],"additive":[22],"distortion,":[24],"effect":[26],"on":[30,121,150,172],"visual":[32],"quality":[33,167],"quite":[37],"severe.":[38],"consider":[40],"mean-square":[42],"error":[43],"(MSE)":[44],"cost":[45],"function":[46,89],"and":[47,108,120,138,163,178],"derive":[48],"an":[49,52],"expression":[50],"for":[51,98,135,159],"unbiased":[53,62],"estimate":[54],"MSE.":[57,113],"resulting":[59],"risk":[63,131],"estimator":[64],"referred":[66],"as":[68],"MURE.":[69,83,101],"operation":[72],"performed":[74],"in":[75],"wavelet":[77,94],"domain":[78],"considering":[80],"image-domain":[82],"parameters":[85],"(typically,":[90],"shrinkage":[92],"coefficients)":[95],"are":[96],"optimized":[97],"minimizing":[100],"show":[103,164],"that":[104,165,181],"MURE":[105],"accurate":[107],"close":[109],"oracle":[112,176],"This":[114],"makes":[115],"MURE-based":[116],"image":[117],"reliable":[119],"par":[122,173],"oracle-MSE-based":[124],"estimates.":[125],"Analogous":[126],"other":[129],"popular":[130],"estimation":[132],"approaches":[133],"developed":[134],"additive,":[136],"Poisson,":[137],"chi-squared":[139],"degradations,":[141],"proposed":[143],"approach":[144],"does":[145],"not":[146],"assume":[147],"any":[148],"prior":[149],"underlying":[152],"noise-free":[153],"image.":[154],"report":[156],"results":[158],"various":[160],"levels":[162],"obtained":[170,182],"result":[177],"better":[179],"than":[180],"using":[183],"some":[184],"state-of-the-art":[185],"denoisers.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}