Gaussian Noise Removal Algorithm using Statistical Method


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ABSTRACT:

In this paper, a new efficient Gaussian noise removal algorithm is proposed that removes the Gaussian noises from the noisy images. This proposed method depends on statistical parameters like local standard deviation and local mean. It preserves the fine details of images along with the image restoration. In proposed method, a smoothing factor is introduced which determines the level of restoration. This factor is automatically calculated using standard deviation. From various experimental results, it is confirmed that the proposed method yields better results than the different existing methods.


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