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


Citation

Khalil, Hassan Hadi and Rahmat, R. O. K. and Mahmoud, W. A. (2008) Estimation of noise in gray-scale and colored images using median absolute deviation (MAD). Geometric Modeling and Imaging. 92 -97. ISSN 978-0-7695-3270-7

Abstract / Synopsis

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.


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Additional Metadata

Item Type: Article
Subject: MAD (Computer program language)
Subject: Noise control
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1109/GMAI.2008.7
Publisher: IEEE
Keywords: Noise estimation; Image de-noising; Types of noise; RGB images; MAD.
Depositing User: Erni Suraya Abdul Aziz
Date Deposited: 29 Aug 2012 10:31
Last Modified: 28 Sep 2015 04:24
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/GMAI.2008.7
URI: http://psasir.upm.edu.my/id/eprint/19049
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