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

Citation

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).

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.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
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:	24 Oct 2018 04:17
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
Statistic Details:	View Download Statistic

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