Abstract
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Article Information:
Noise Detection in Images using Moments
G. Maragatham, S. Md. Mansoor Roomi and P. Vasuki
Corresponding Author: G. Maragatham
Submitted: December 26, 2014
Accepted: January 27, 2015
Published: May 30, 2015 |
Abstract:
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Noise is an unwanted signal that disturbs brightness/color information of an image. Image denoising algorithms often are directed by human intervention or assume the type of noise, such approaches are not fully automatic in detecting the presence of noise and also in identifying the type of noise. This study aims to introduce a moment based noise detection and identification technique to detect the presence of noise in an image and if so, whether the noise is impulse. The proposed method uses Discrete Cosine Transform to obtain frequency components over which the Kurtosis is calculated. The perturbation of kurtosis is computed in terms of Sum of Absolute Deviation (SAD). Based on the larger experimentation a threshold value is set to detect the presence of noise and based on the ranges of SAD value, types of noise is identified.
Key words: Discrete cosine transforms, impulse noise, kurtosis, sum of absolute deviation, , ,
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Abstract
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Cite this Reference:
G. Maragatham, S. Md. Mansoor Roomi and P. Vasuki, . Noise Detection in Images using Moments. Research Journal of Applied Sciences, Engineering and Technology, (3): 307-314.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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