Speckle reduction with adaptive stack 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 the...
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v_n_p_Buemi http://hdl.handle.net/20.500.12110/paper_01678655_v_n_p_Buemi |
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paper:paper_01678655_v_n_p_Buemi2023-06-08T15:17:01Z Speckle reduction with adaptive stack filters Buemi, María Elena Non-linear filters SAR image filtering Speckle noise Stack 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. Fil:Buemi, M.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2013 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v_n_p_Buemi http://hdl.handle.net/20.500.12110/paper_01678655_v_n_p_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 |
spellingShingle |
Non-linear filters SAR image filtering Speckle noise Stack filters Buemi, María Elena Speckle reduction with adaptive stack filters |
topic_facet |
Non-linear filters SAR image filtering Speckle noise Stack 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. |
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 |
2013 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v_n_p_Buemi http://hdl.handle.net/20.500.12110/paper_01678655_v_n_p_Buemi |
work_keys_str_mv |
AT buemimariaelena specklereductionwithadaptivestackfilters |
_version_ |
1768543464232845312 |