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

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

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Abstract

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.

Item Type:Article
Keyword:Noise estimation; Image de-noising; Types of noise; RGB images; MAD.
Subject:MAD (Computer program language)
Subject:Noise control
Faculty or Institute:Faculty of Computer Science and Information Technology
Publisher:IEEE
DOI Number:10.1109/GMAI.2008.7
Altmetrics:http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/GMAI.2008.7
ID Code:19049
Deposited By: Erni Suraya Abdul Aziz
Deposited On:29 Aug 2012 10:31
Last Modified:29 Oct 2014 09:14

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