@InProceedings{FrerySant:1993:NoRoFi,
author = "Frery, Alejandro C{\'e}sar and Sant’Anna, Sidnei J. S.",
affiliation = "{Divis{\~a}o de Processamento de Imagens do Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Divis{\~a}o de Processamento de
Imagens do Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Non-adaptive robust filters for speckle noise reduction",
booktitle = "Anais...",
year = "1993",
editor = "Figueiredo, Luiz Henrique de and Gomes, Jonas de Miranda",
pages = "165--174",
organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e
Processamento de Imagens, 6. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "estimation, filtering, maximum likelihood, multiplicative models,
order statistics, robustness, speckle, statistics, synthetic
aperture radar.",
abstract = "After 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.",
conference-location = "Recife, PE, Brazil",
conference-year = "19-22 Oct. 1993",
isbn = "978-85-7669-271-3",
language = "en",
ibi = "8JMKD3MGPBW34M/3D7KAFH",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3D7KAFH",
targetfile = "20 Non adaptive robust filters for speckle noise reduction.pdf",
type = "Processamento de Imagens II",
volume = "1",
urlaccessdate = "2024, May 01"
}