Speckle Noise Filtering in Side-Scan Sonar Images Based on the Tucker Tensor Decomposition

Real signals are usually contaminated with various types of noise. This phenomenon has a negative impact on the operation of systems that rely on signals processing. In this paper, we propose a tensor-based method for speckle noise reduction in the side-scan sonar images. The method is based on the...

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Detalles Bibliográficos
Autores principales: Grabek, Jakub, Cyganek, Bogusław
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651185/
https://www.ncbi.nlm.nih.gov/pubmed/31262074
http://dx.doi.org/10.3390/s19132903
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author Grabek, Jakub
Cyganek, Bogusław
author_facet Grabek, Jakub
Cyganek, Bogusław
author_sort Grabek, Jakub
collection PubMed
description Real signals are usually contaminated with various types of noise. This phenomenon has a negative impact on the operation of systems that rely on signals processing. In this paper, we propose a tensor-based method for speckle noise reduction in the side-scan sonar images. The method is based on the Tucker decomposition with automatically determined ranks of factoring tensors. As verified experimentally, the proposed method shows very good results, outperforming other types of speckle-noise filters.
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spelling pubmed-66511852019-08-07 Speckle Noise Filtering in Side-Scan Sonar Images Based on the Tucker Tensor Decomposition Grabek, Jakub Cyganek, Bogusław Sensors (Basel) Article Real signals are usually contaminated with various types of noise. This phenomenon has a negative impact on the operation of systems that rely on signals processing. In this paper, we propose a tensor-based method for speckle noise reduction in the side-scan sonar images. The method is based on the Tucker decomposition with automatically determined ranks of factoring tensors. As verified experimentally, the proposed method shows very good results, outperforming other types of speckle-noise filters. MDPI 2019-06-30 /pmc/articles/PMC6651185/ /pubmed/31262074 http://dx.doi.org/10.3390/s19132903 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Grabek, Jakub
Cyganek, Bogusław
Speckle Noise Filtering in Side-Scan Sonar Images Based on the Tucker Tensor Decomposition
title Speckle Noise Filtering in Side-Scan Sonar Images Based on the Tucker Tensor Decomposition
title_full Speckle Noise Filtering in Side-Scan Sonar Images Based on the Tucker Tensor Decomposition
title_fullStr Speckle Noise Filtering in Side-Scan Sonar Images Based on the Tucker Tensor Decomposition
title_full_unstemmed Speckle Noise Filtering in Side-Scan Sonar Images Based on the Tucker Tensor Decomposition
title_short Speckle Noise Filtering in Side-Scan Sonar Images Based on the Tucker Tensor Decomposition
title_sort speckle noise filtering in side-scan sonar images based on the tucker tensor decomposition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651185/
https://www.ncbi.nlm.nih.gov/pubmed/31262074
http://dx.doi.org/10.3390/s19132903
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