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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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.
|Keyword:||Noise estimation; Image de-noising; Types of noise; RGB images; MAD.|
|Subject:||MAD (Computer program language)|
|Faculty or Institute:||Faculty of Computer Science and Information Technology|
|Deposited By:||Erni Suraya Abdul Aziz|
|Deposited On:||29 Aug 2012 10:31|
|Last Modified:||29 Oct 2014 09:14|
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