Speckle reduction with adaptive stack filters

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Stack filters are a special case of non-linear filters. They have a good performance for filtering images with different types of noise while preserving edges and details. A stack filter decomposes an input image into stacks of binary images according to a set of thresholds. Each binary image is the...

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Detalles Bibliográficos
Autor principal:	Buemi, María Elena
Publicado:	2014
Materias:	Non-linear filters SAR image filtering Speckle noise Stack filters Bandpass filters Binary images Bins Boolean functions Nonlinear filtering Radar imaging Speckle Synthetic aperture radar Classification accuracy Non linear Optimized filters SAR Images Speckle reduction Synthetic aperture radar (SAR) images Adaptive filters
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v36_n1_p281_Buemi http://hdl.handle.net/20.500.12110/paper_01678655_v36_n1_p281_Buemi
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_01678655_v36_n1_p281_Buemi
record_format	dspace
spelling	paper:paper_01678655_v36_n1_p281_Buemi2023-06-08T15:17:01Z Speckle reduction with adaptive stack filters Buemi, María Elena Non-linear filters SAR image filtering Speckle noise Stack filters Bandpass filters Binary images Bins Boolean functions Nonlinear filtering Radar imaging Speckle Synthetic aperture radar Classification accuracy Non linear Optimized filters SAR Images Speckle noise Speckle reduction Stack filters Synthetic aperture radar (SAR) images Adaptive filters Stack filters are a special case of non-linear filters. They have a good performance for filtering images with different types of noise while preserving edges and details. A stack filter decomposes an input image into stacks of binary images according to a set of thresholds. Each binary image is then filtered by a Boolean function, which characterizes the filter. Adaptive stack filters can be computed by training using a prototype (ideal) image and its corrupted version, leading to optimized filters with respect to a loss function. In this work we propose the use of training with selected samples for the estimation of the optimal Boolean function. We study the performance of adaptive stack filters when they are applied to speckled imagery, in particular to Synthetic Aperture Radar (SAR) images. This is done by evaluating the quality of the filtered images through the use of suitable image quality indexes and by measuring the classification accuracy of the resulting images. We used SAR images as input, since they are affected by speckle noise that makes classification a difficult task. © 2013 Elsevier B.V. All rights reserved. Fil:Buemi, M.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2014 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v36_n1_p281_Buemi http://hdl.handle.net/20.500.12110/paper_01678655_v36_n1_p281_Buemi
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Non-linear filters SAR image filtering Speckle noise Stack filters Bandpass filters Binary images Bins Boolean functions Nonlinear filtering Radar imaging Speckle Synthetic aperture radar Classification accuracy Non linear Optimized filters SAR Images Speckle noise Speckle reduction Stack filters Synthetic aperture radar (SAR) images Adaptive filters
spellingShingle	Non-linear filters SAR image filtering Speckle noise Stack filters Bandpass filters Binary images Bins Boolean functions Nonlinear filtering Radar imaging Speckle Synthetic aperture radar Classification accuracy Non linear Optimized filters SAR Images Speckle noise Speckle reduction Stack filters Synthetic aperture radar (SAR) images Adaptive filters Buemi, María Elena Speckle reduction with adaptive stack filters
topic_facet	Non-linear filters SAR image filtering Speckle noise Stack filters Bandpass filters Binary images Bins Boolean functions Nonlinear filtering Radar imaging Speckle Synthetic aperture radar Classification accuracy Non linear Optimized filters SAR Images Speckle noise Speckle reduction Stack filters Synthetic aperture radar (SAR) images Adaptive filters
description	Stack filters are a special case of non-linear filters. They have a good performance for filtering images with different types of noise while preserving edges and details. A stack filter decomposes an input image into stacks of binary images according to a set of thresholds. Each binary image is then filtered by a Boolean function, which characterizes the filter. Adaptive stack filters can be computed by training using a prototype (ideal) image and its corrupted version, leading to optimized filters with respect to a loss function. In this work we propose the use of training with selected samples for the estimation of the optimal Boolean function. We study the performance of adaptive stack filters when they are applied to speckled imagery, in particular to Synthetic Aperture Radar (SAR) images. This is done by evaluating the quality of the filtered images through the use of suitable image quality indexes and by measuring the classification accuracy of the resulting images. We used SAR images as input, since they are affected by speckle noise that makes classification a difficult task. © 2013 Elsevier B.V. All rights reserved.
author	Buemi, María Elena
author_facet	Buemi, María Elena
author_sort	Buemi, María Elena
title	Speckle reduction with adaptive stack filters
title_short	Speckle reduction with adaptive stack filters
title_full	Speckle reduction with adaptive stack filters
title_fullStr	Speckle reduction with adaptive stack filters
title_full_unstemmed	Speckle reduction with adaptive stack filters
title_sort	speckle reduction with adaptive stack filters
publishDate	2014
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v36_n1_p281_Buemi http://hdl.handle.net/20.500.12110/paper_01678655_v36_n1_p281_Buemi
work_keys_str_mv	AT buemimariaelena specklereductionwithadaptivestackfilters
_version_	1768546063456665600

Speckle reduction with adaptive stack filters

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