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Reference TypeConference Paper (Conference Proceedings)
Last Update2013:
Metadata Last Update2013:
Citation KeyFrerySant:1993:NoRoFi
TitleNon-adaptive robust filters for speckle noise reduction
FormatImpresso, On-line.
Access Date2021, Apr. 14
Number of Files1
Size7913 KiB
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Author1 Frery, Alejandro César
2 Sant’Anna, Sidnei J. S.
Affiliation1 Divisão de Processamento de Imagens do Instituto Nacional de Pesquisas Espaciais (INPE)
2 Divisão de Processamento de Imagens do Instituto Nacional de Pesquisas Espaciais (INPE)
EditorFigueiredo, Luiz Henrique de
Gomes, Jonas de Miranda
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 6 (SIBGRAPI)
Conference LocationRecife
Date19 - 22 out. 1993
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleAnais
Tertiary TypeArtigo
History2012-12-14 13:28:15 :: -> administrator ::
2013-01-03 01:24:53 :: administrator -> :: 1993
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Keywordsestimation, filtering, maximum likelihood, multiplicative models, order statistics, robustness, speckle, statistics, synthetic aperture radar.
AbstractAfter briefly reviewing some classical filters for speckle removal, five filters with characteristics of robustness, suitable for speckle noise reduction, are derived and implemented. These filters are the ones based on the trimmed maximum likelihood and moments estimators, the ones based on the median, on the inter-quartile range and on the median absolute deviation. Assuming that observations within a synthetic aperture radar image are outcomes of independent Rayleigh random variables, these filters exhibit a good performance from both the signal-to-noise reduction and from the edge preserving criteria. The problem of filtering in an image is posed as an estimation problem.
TypeProcessamento de Imagens II
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Target File20 Non adaptive robust filters for speckle noise reduction.pdf
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