Chapter 15: Estimation of Noise in Gray-Scale and Colored Images Using Median Absolute Deviation (MAD)

Author

Khalil, Hassan H. ; Rahmat, Rahmita O K ; Mahmoud, Waleed A.

Author_Institution

Dept. of Comput. Sci. & Inf. Technol., Univ. Putra Malaysia, Serdang

fYear

2008

fDate

9-11 July 2008

Firstpage

92

Lastpage

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.

Keywords

estimation theory; image colour analysis; image denoising; noise; artificial noise; colored images; gray-scale images; image denoising; median absolute deviation; noise estimation; signal to noise ratio; Additive white noise; Color; Colored noise; Gaussian noise; Gray-scale; Low pass filters; Noise level; Signal to noise ratio; Wavelet coefficients; Wavelet transforms; Image de-noising; MAD; Noise estimation; RGB images; Types of noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Geometric Modeling and Imaging, 2008. GMAI 2008. 3rd International Conference on

Conference_Location

London

Print_ISBN

978-0-7695-3270-7

Type

conf

DOI

10.1109/GMAI.2008.7

Filename

4568612