{"id":"https://openalex.org/W2141893604","doi":"https://doi.org/10.1109/icassp.2011.5946565","title":"Image noise-informative map for noise standard deviation estimation","display_name":"Image noise-informative map for noise standard deviation estimation","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2141893604","doi":"https://doi.org/10.1109/icassp.2011.5946565","mag":"2141893604"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","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/A5067841862","display_name":"Mikhail Uss","orcid":"https://orcid.org/0000-0003-4485-9207"},"institutions":[{"id":"https://openalex.org/I23686167","display_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","ror":"https://ror.org/048j5n646","country_code":"UA","type":"education","lineage":["https://openalex.org/I23686167"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR","UA"],"is_corresponding":true,"raw_author_name":"M. Uss","raw_affiliation_strings":["Department of Radioelectronic Systems and Complexes, Kharkov National Aerospace University KhAI, Kharkov, Ukraine","TSI2M Laboratory, University of Rennes I, Lannion, France"],"affiliations":[{"raw_affiliation_string":"Department of Radioelectronic Systems and Complexes, Kharkov National Aerospace University KhAI, Kharkov, Ukraine","institution_ids":["https://openalex.org/I23686167"]},{"raw_affiliation_string":"TSI2M Laboratory, University of Rennes I, Lannion, France","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106691452","display_name":"Beno\u00eet Vozel","orcid":"https://orcid.org/0000-0002-1920-2847"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"B. Vozel","raw_affiliation_strings":["TSI2M Laboratory, University of Rennes I, Lannion, France"],"affiliations":[{"raw_affiliation_string":"TSI2M Laboratory, University of Rennes I, Lannion, France","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011325512","display_name":"Vladimir Lukin","orcid":"https://orcid.org/0000-0002-1443-9685"},"institutions":[{"id":"https://openalex.org/I23686167","display_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","ror":"https://ror.org/048j5n646","country_code":"UA","type":"education","lineage":["https://openalex.org/I23686167"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"V. Lukin","raw_affiliation_strings":["Department of Receivers, Transmitters and Signal Processing, Kharkov National Aerospace University KhAI, Kharkov, Ukraine"],"affiliations":[{"raw_affiliation_string":"Department of Receivers, Transmitters and Signal Processing, Kharkov National Aerospace University KhAI, Kharkov, Ukraine","institution_ids":["https://openalex.org/I23686167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062871059","display_name":"I. V. Baryshev","orcid":null},"institutions":[{"id":"https://openalex.org/I23686167","display_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","ror":"https://ror.org/048j5n646","country_code":"UA","type":"education","lineage":["https://openalex.org/I23686167"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"I. Baryshev","raw_affiliation_strings":["Department of Radioelectronic Systems and Complexes, Kharkov National Aerospace University KhAI, Kharkov, Ukraine"],"affiliations":[{"raw_affiliation_string":"Department of Radioelectronic Systems and Complexes, Kharkov National Aerospace University KhAI, Kharkov, Ukraine","institution_ids":["https://openalex.org/I23686167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038728763","display_name":"Kacem Chehdi","orcid":"https://orcid.org/0000-0003-2659-812X"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"K. Chehdi","raw_affiliation_strings":["TSI2M Laboratory, University of Rennes I, Lannion, France"],"affiliations":[{"raw_affiliation_string":"TSI2M Laboratory, University of Rennes I, Lannion, France","institution_ids":["https://openalex.org/I56067802"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067841862"],"corresponding_institution_ids":["https://openalex.org/I23686167","https://openalex.org/I56067802"],"apc_list":null,"apc_paid":null,"fwci":1.02321598,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80809621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"34","issue":null,"first_page":"961","last_page":"964"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9951000213623047,"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":0.9915000200271606,"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/noise","display_name":"Noise (video)","score":0.7378255724906921},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.66777104139328},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.5622987747192383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5572388172149658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5523043870925903},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5043758153915405},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.496065229177475},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.4888390898704529},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4651108384132385},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.43836861848831177},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41424497961997986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3698761463165283},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.31142666935920715},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29869112372398376}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7378255724906921},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.66777104139328},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.5622987747192383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5572388172149658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5523043870925903},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5043758153915405},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.496065229177475},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.4888390898704529},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4651108384132385},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.43836861848831177},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41424497961997986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3698761463165283},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.31142666935920715},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29869112372398376},{"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/icassp.2011.5946565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W248591590","https://openalex.org/W1577661477","https://openalex.org/W1997330863","https://openalex.org/W2024402662","https://openalex.org/W2053466894","https://openalex.org/W2152047336","https://openalex.org/W2164787853","https://openalex.org/W2324971623","https://openalex.org/W6701249984"],"related_works":["https://openalex.org/W3108403339","https://openalex.org/W2162712524","https://openalex.org/W2066798134","https://openalex.org/W4287867034","https://openalex.org/W3005783148","https://openalex.org/W3021143552","https://openalex.org/W2467317383","https://openalex.org/W2004821155","https://openalex.org/W3190667789","https://openalex.org/W1995613686"],"abstract_inverted_index":{"The":[0,61,84],"problem":[1],"of":[2,5,16,36,94,108],"automatic":[3],"detection":[4],"image":[6,25,47,121],"areas":[7],"that":[8,125],"can":[9],"be":[10],"reliably":[11],"selected":[12],"for":[13],"accurate":[14,34],"estimation":[15,102],"additive":[17],"noise":[18,40,75,100,137],"standard":[19],"deviation":[20],"(STD),":[21],"irrespectively":[22],"to":[23,135],"processed":[24],"properties,":[26],"is":[27,64,87,103],"considered":[28],"in":[29,78,115],"this":[30],"paper.":[31],"For":[32],"getting":[33],"estimate":[35],"either":[37],"texture":[38],"or":[39],"parameters":[41],"involved,":[42],"we":[43],"distinguish":[44],"two":[45],"complementary":[46,57,92],"informative":[48],"maps:":[49],"(1)":[50],"noise-informative":[51],"(NI)":[52],"map":[53,63,86,96],"and":[54,66,141],"(2)":[55],"its":[56],"texture-informative":[58],"(TI)":[59],"map.":[60],"NI":[62,116],"determined":[65],"iteratively":[67],"upgraded":[68],"based":[69],"on":[70,74,119],"the":[71,91,126],"Fisher":[72],"information":[73],"STD":[76,101,138],"calculated":[77],"a":[79],"single":[80],"scanning":[81],"window":[82],"(SW).":[83],"TI":[85],"simply":[88],"evolved":[89],"as":[90],"part":[93],"N":[95],"currently":[97],"updated.":[98],"Final":[99],"performed":[104],"by":[105],"efficient":[106],"analysis":[107],"finite":[109],"size":[110],"9\u00d79":[111],"block":[112],"DCT":[113],"coefficients":[114],"SWs.":[117],"Experiments":[118],"large":[120],"database":[122],"have":[123],"proved":[124],"proposed":[127],"approach":[128],"outperforms":[129],"state-of":[130],"the-art":[131],"estimators":[132],"with":[133],"respect":[134],"both":[136],"estimates":[139],"bias":[140],"variance.":[142]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}