Estimation of noise in gray-scale and colored images using median absolute deviation (MAD)

This paper presents a new algorithm for estimation of noise (i.e., level of noise) in both gray-scale and color images (GSI, CI). The new technique is called median-absolute deviation (MAD). This technique does require an explicit estimation of the noise level or the signal to noise ratio (SNR), whi...

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Main Authors: Khaleel, Hasan Hadi, O. K. Rahmat, Rahmita Wirza, Mahmoud, Waleed A.
Format: Conference or Workshop Item
Language:English
Published: IEEE 2008
Online Access:http://psasir.upm.edu.my/id/eprint/19049/1/Estimation%20of%20noise%20in%20gray.pdf
http://psasir.upm.edu.my/id/eprint/19049/
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Institution: Universiti Putra Malaysia
Language: English
id my.upm.eprints.19049
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spelling my.upm.eprints.190492018-10-24T04:17:24Z http://psasir.upm.edu.my/id/eprint/19049/ Estimation of noise in gray-scale and colored images using median absolute deviation (MAD) Khaleel, Hasan Hadi O. K. Rahmat, Rahmita Wirza Mahmoud, Waleed A. This paper presents a new algorithm for estimation of noise (i.e., level of noise) in both gray-scale and color images (GSI, CI). The new technique is called median-absolute deviation (MAD). This technique does require an explicit estimation of the noise level or the signal to noise ratio (SNR), which is usually needed in most of the popular enhancement methods. Performance of the proposed method is evaluated on noisy images in real conditions and with artificial noise. IEEE 2008 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/19049/1/Estimation%20of%20noise%20in%20gray.pdf Khaleel, Hasan Hadi and O. K. Rahmat, Rahmita Wirza and Mahmoud, Waleed A. (2008) Estimation of noise in gray-scale and colored images using median absolute deviation (MAD). In: 3rd International Conference on Geometric Modeling and Imaging (GMAI 2008), 9-11 July 2008, London, United Kingdom. (pp. 92-97). 10.1109/GMAI.2008.7
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This paper presents a new algorithm for estimation of noise (i.e., level of noise) in both gray-scale and color images (GSI, CI). The new technique is called median-absolute deviation (MAD). This technique does require an explicit estimation of the noise level or the signal to noise ratio (SNR), which is usually needed in most of the popular enhancement methods. Performance of the proposed method is evaluated on noisy images in real conditions and with artificial noise.
format Conference or Workshop Item
author Khaleel, Hasan Hadi
O. K. Rahmat, Rahmita Wirza
Mahmoud, Waleed A.
spellingShingle Khaleel, Hasan Hadi
O. K. Rahmat, Rahmita Wirza
Mahmoud, Waleed A.
Estimation of noise in gray-scale and colored images using median absolute deviation (MAD)
author_facet Khaleel, Hasan Hadi
O. K. Rahmat, Rahmita Wirza
Mahmoud, Waleed A.
author_sort Khaleel, Hasan Hadi
title Estimation of noise in gray-scale and colored images using median absolute deviation (MAD)
title_short Estimation of noise in gray-scale and colored images using median absolute deviation (MAD)
title_full Estimation of noise in gray-scale and colored images using median absolute deviation (MAD)
title_fullStr Estimation of noise in gray-scale and colored images using median absolute deviation (MAD)
title_full_unstemmed Estimation of noise in gray-scale and colored images using median absolute deviation (MAD)
title_sort estimation of noise in gray-scale and colored images using median absolute deviation (mad)
publisher IEEE
publishDate 2008
url http://psasir.upm.edu.my/id/eprint/19049/1/Estimation%20of%20noise%20in%20gray.pdf
http://psasir.upm.edu.my/id/eprint/19049/
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