{"id":"https://openalex.org/W2086933420","doi":"https://doi.org/10.1109/sips.2009.5336242","title":"Locally adaptive speckle noise reduction using maximum a posteriori estimation based on Maxwell distribution","display_name":"Locally adaptive speckle noise reduction using maximum a posteriori estimation based on Maxwell distribution","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2086933420","doi":"https://doi.org/10.1109/sips.2009.5336242","mag":"2086933420"},"language":"en","primary_location":{"id":"doi:10.1109/sips.2009.5336242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips.2009.5336242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Workshop on Signal Processing Systems","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/A5044852385","display_name":"Sung Gug Kim","orcid":"https://orcid.org/0000-0002-1549-8863"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung Gug Kim","raw_affiliation_strings":["School of Electrical Engineering, Pusan National University, Busan, South Korea","School of Electrical Engineering, Pusan National University Busan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Pusan National University, Busan, South Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"School of Electrical Engineering, Pusan National University Busan, South Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113707194","display_name":"Yoo Shin Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yoo Shin Kim","raw_affiliation_strings":["School of Electrical Engineering, Pusan National University, Busan, South Korea","School of Electrical Engineering, Pusan National University Busan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Pusan National University, Busan, South Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"School of Electrical Engineering, Pusan National University Busan, South Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064514063","display_name":"Il Kyu Eom","orcid":"https://orcid.org/0000-0002-7675-1789"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Il Kyu Eom","raw_affiliation_strings":["School of Electrical Engineering, Pusan National University, Busan, South Korea","School of Electrical Engineering, Pusan National University Busan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Pusan National University, Busan, South Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"School of Electrical Engineering, Pusan National University Busan, South Korea","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4921948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.12384067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"157","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9962000250816345,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9958000183105469,"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/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.7985038757324219},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.6696376800537109},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6521879434585571},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6242926120758057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48611974716186523},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4773143231868744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44989675283432007},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.44559526443481445},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42963874340057373},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.423621267080307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4178197979927063},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3871661424636841},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2885301411151886},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25423532724380493}],"concepts":[{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.7985038757324219},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.6696376800537109},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6521879434585571},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6242926120758057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48611974716186523},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4773143231868744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44989675283432007},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.44559526443481445},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42963874340057373},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.423621267080307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4178197979927063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3871661424636841},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2885301411151886},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25423532724380493},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sips.2009.5336242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips.2009.5336242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Workshop on Signal Processing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1753280301","https://openalex.org/W1964584313","https://openalex.org/W1970886436","https://openalex.org/W1987060390","https://openalex.org/W2065391104","https://openalex.org/W2100115174","https://openalex.org/W2105035892","https://openalex.org/W2146094389","https://openalex.org/W2149925139","https://openalex.org/W2161888968","https://openalex.org/W4212783130","https://openalex.org/W4214806317","https://openalex.org/W6681839257"],"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":{"This":[0],"paper":[1],"introduces":[2],"a":[3,41,57],"speckle":[4,32,52],"noise":[5],"reduction":[6],"algorithm":[7],"using":[8,81],"Bayesian":[9,39],"estimation":[10,44],"in":[11,107],"the":[12,19,30,49,63,71,95,104,110,118],"wavelet":[13,16],"domain.":[14],"The":[15,38,91],"coefficients":[17],"of":[18,29,103,109],"log-transformed":[20,31],"signal":[21],"are":[22,33,79],"modeled":[23,34],"by":[24,35],"Laplacian":[25],"distribution,":[26],"while":[27],"those":[28],"Maxwell":[36],"distribution.":[37],"maximum":[40],"posteriori":[42],"(MAP)":[43],"is":[45,53,66],"basically":[46],"based":[47],"on":[48,70],"presumption":[50],"that":[51,94],"spatially":[54],"correlated":[55],"within":[56],"small":[58],"window.":[59],"In":[60],"this":[61],"paper,":[62],"window":[64],"size":[65],"automatically":[67],"regulated":[68],"depending":[69],"statistics,":[72],"such":[73],"as":[74],"mean":[75],"and":[76,88,117],"variance.":[77],"Simulations":[78],"performed":[80],"synthetically":[82],"real":[83],"speckled":[84],"ultrasound":[85],"(US))":[86],"image":[87],"peppers":[89],"image.":[90],"results":[92],"show":[93],"proposed":[96],"method":[97],"can":[98],"conduct":[99],"better":[100],"than":[101],"some":[102],"existing":[105],"methods":[106],"terms":[108],"Peak":[111],"Signal":[112],"to":[113],"Noise":[114],"Ratio":[115],"(PSNR)":[116],"edge":[119],"preservation":[120],"factor.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}