Noise Reduction for CFA Image Sensors Exploiting HVS Behaviour

This paper presents a spatial noise reduction technique designed to work on CFA (Color Filtering Array) data acquired by CCD/CMOS image sensors. The overall processing preserves image details using some heuristics related to the HVS (Human Visual System); estimates of local texture degree and noise...

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Detalles Bibliográficos
Autores principales: Bosco, Angelo, Battiato, Sebastiano, Bruna, Arcangelo, Rizzo, Rosetta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3345860/
https://www.ncbi.nlm.nih.gov/pubmed/22573981
http://dx.doi.org/10.3390/s90301692
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author Bosco, Angelo
Battiato, Sebastiano
Bruna, Arcangelo
Rizzo, Rosetta
author_facet Bosco, Angelo
Battiato, Sebastiano
Bruna, Arcangelo
Rizzo, Rosetta
author_sort Bosco, Angelo
collection PubMed
description This paper presents a spatial noise reduction technique designed to work on CFA (Color Filtering Array) data acquired by CCD/CMOS image sensors. The overall processing preserves image details using some heuristics related to the HVS (Human Visual System); estimates of local texture degree and noise levels are computed to regulate the filter smoothing capability. Experimental results confirm the effectiveness of the proposed technique. The method is also suitable for implementation in low power mobile devices with imaging capabilities such as camera phones and PDAs.
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spelling pubmed-33458602012-05-09 Noise Reduction for CFA Image Sensors Exploiting HVS Behaviour Bosco, Angelo Battiato, Sebastiano Bruna, Arcangelo Rizzo, Rosetta Sensors (Basel) Article This paper presents a spatial noise reduction technique designed to work on CFA (Color Filtering Array) data acquired by CCD/CMOS image sensors. The overall processing preserves image details using some heuristics related to the HVS (Human Visual System); estimates of local texture degree and noise levels are computed to regulate the filter smoothing capability. Experimental results confirm the effectiveness of the proposed technique. The method is also suitable for implementation in low power mobile devices with imaging capabilities such as camera phones and PDAs. Molecular Diversity Preservation International (MDPI) 2009-03-10 /pmc/articles/PMC3345860/ /pubmed/22573981 http://dx.doi.org/10.3390/s90301692 Text en © 2009 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 license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Bosco, Angelo
Battiato, Sebastiano
Bruna, Arcangelo
Rizzo, Rosetta
Noise Reduction for CFA Image Sensors Exploiting HVS Behaviour
title Noise Reduction for CFA Image Sensors Exploiting HVS Behaviour
title_full Noise Reduction for CFA Image Sensors Exploiting HVS Behaviour
title_fullStr Noise Reduction for CFA Image Sensors Exploiting HVS Behaviour
title_full_unstemmed Noise Reduction for CFA Image Sensors Exploiting HVS Behaviour
title_short Noise Reduction for CFA Image Sensors Exploiting HVS Behaviour
title_sort noise reduction for cfa image sensors exploiting hvs behaviour
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3345860/
https://www.ncbi.nlm.nih.gov/pubmed/22573981
http://dx.doi.org/10.3390/s90301692
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