{"id":"https://openalex.org/W2168815453","doi":"https://doi.org/10.1109/lgrs.2011.2155617","title":"Bayesian Hyperanalytic Denoising of SONAR Images","display_name":"Bayesian Hyperanalytic Denoising of SONAR Images","publication_year":2011,"publication_date":"2011-06-29","ids":{"openalex":"https://openalex.org/W2168815453","doi":"https://doi.org/10.1109/lgrs.2011.2155617","mag":"2168815453"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2011.2155617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2011.2155617","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5042792831","display_name":"Ioana Firoiu","orcid":null},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Ioana Firoiu","raw_affiliation_strings":["Alcatel-Lucent, Timisoara, Romania","Politehnica University of Timisoara, Timisoara, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alcatel-Lucent, Timisoara, Romania","institution_ids":[]},{"raw_affiliation_string":"Politehnica University of Timisoara, Timisoara, Romania","institution_ids":["https://openalex.org/I3122695212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103483253","display_name":"Corina Naforni\u0163a","orcid":"https://orcid.org/0000-0002-0227-1061"},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Corina Nafornita","raw_affiliation_strings":["Politehnica University of Timisoara, Timisoara, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politehnica University of Timisoara, Timisoara, Romania","institution_ids":["https://openalex.org/I3122695212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033694428","display_name":"Dorina Isar","orcid":null},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Dorina Isar","raw_affiliation_strings":["Politehnica University of Timisoara, Timisoara, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politehnica University of Timisoara, Timisoara, Romania","institution_ids":["https://openalex.org/I3122695212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045316602","display_name":"Alexandru Isar","orcid":"https://orcid.org/0000-0003-0510-7344"},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Alexandru Isar","raw_affiliation_strings":["Politehnica University of Timisoara, Timisoara, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politehnica University of Timisoara, Timisoara, Romania","institution_ids":["https://openalex.org/I3122695212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3122695212"],"apc_list":null,"apc_paid":null,"fwci":1.5704,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.86744455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":"6","first_page":"1065","last_page":"1069"},"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":0.9991999864578247,"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.8819530010223389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7470840215682983},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7001557350158691},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6674262881278992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6599100232124329},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.5937831997871399},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5173680186271667},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.5106266140937805},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4924395978450775},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4894779920578003},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.46030500531196594},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.4583832621574402},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4578825533390045},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4480587840080261},{"id":"https://openalex.org/keywords/matched-filter","display_name":"Matched filter","score":0.4310723841190338},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2505732774734497},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19792863726615906},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.06617578864097595}],"concepts":[{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.8819530010223389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7470840215682983},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7001557350158691},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6674262881278992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6599100232124329},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.5937831997871399},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5173680186271667},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.5106266140937805},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4924395978450775},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4894779920578003},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.46030500531196594},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.4583832621574402},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4578825533390045},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4480587840080261},{"id":"https://openalex.org/C50151734","wikidata":"https://www.wikidata.org/wiki/Q1759577","display_name":"Matched filter","level":3,"score":0.4310723841190338},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2505732774734497},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19792863726615906},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.06617578864097595},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2011.2155617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2011.2155617","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.7300000190734863,"display_name":"Life below water"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311029","display_name":"Institut Fran\u00e7ais de Recherche pour l'Exploitation de la Mer","ror":"https://ror.org/044jxhp58"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1972163814","https://openalex.org/W1998339281","https://openalex.org/W2073354982","https://openalex.org/W2094115766","https://openalex.org/W2108179490","https://openalex.org/W2115755118","https://openalex.org/W2129276048","https://openalex.org/W2130219601","https://openalex.org/W2130829856","https://openalex.org/W2137044549","https://openalex.org/W2137584359","https://openalex.org/W2147176572","https://openalex.org/W2158940042","https://openalex.org/W2164809340","https://openalex.org/W2170885533","https://openalex.org/W4214806317"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2121688719","https://openalex.org/W2016481886","https://openalex.org/W2055824452","https://openalex.org/W2727313114","https://openalex.org/W1989852278"],"abstract_inverted_index":{"The":[0,104],"SOund":[1],"Navigation":[2],"And":[3],"Ranging":[4],"(SONAR)":[5],"images":[6,117],"are":[7],"perturbed":[8,118],"by":[9,119],"speckle":[10,121],"noise.":[11],"This":[12,94],"paper":[13],"presents":[14],"a":[15,53,70,87,89,97],"new":[16],"denoising":[17,58,106],"method":[18],"in":[19,57,84],"the":[20,27,30,34,38,50,67,102],"wavelet":[21,54],"domain,":[22],"which":[23,75],"tends":[24],"to":[25],"reduce":[26],"speckle,":[28],"preserving":[29],"structural":[31],"features":[32],"and":[33,79,110,123],"textural":[35],"information":[36],"of":[37,52,59,69,72,101],"scene.":[39],"Shift":[40],"invariance":[41],"associated":[42],"with":[43,86],"good":[44,81,99],"directional":[45,82],"selectivity":[46,83],"is":[47,76,108],"important":[48],"for":[49],"use":[51,68],"transform":[55],"(WT)":[56],"SONAR":[60,126],"images.":[61,127],"In":[62],"this":[63],"paper,":[64],"we":[65],"propose":[66],"variant":[71],"hyperanalytic":[73],"WT,":[74],"quasi-shift":[77],"invariant":[78],"has":[80],"association":[85],"maximum":[88],"posteriori":[90],"filter":[91,95],"named":[92],"bishrink.":[93],"makes":[96],"very":[98],"treatment":[100],"contours.":[103],"corresponding":[105],"algorithm":[107],"simple":[109],"fast.":[111],"Its":[112],"performance":[113],"was":[114],"proved":[115],"on":[116,124],"synthesized":[120],"noise":[122],"real":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}