- 期刊
- OpenAccess
Noise Detection in Images using Moments
並列摘要
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.
延伸閱讀
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