A method of mixed filter for smoothing of image
Shuang Zhao
Abstract
Shuang Zhao
Abstract
In this paper,a new mixture filter method is proposed.The proposed method first classifies the pixels into two classes,one is the pixels which are corrupted by Gaussian noise and the other is the pixels which are corrupted by impulse noise.Using the property that high order statistics are not sensitive to Gaussian noise to processing gaussian noise,and can mostly save the image details which greatly dwindling noise.In the experiment,this mixed method can deal with the images which have Gaussian noise and salt-pepper noise effectively,and it saves more details,it has better effect especially for the images have more noise.
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In this paper,a new mixture filter method is proposed.The proposed method first classifies the pixels into two classes,one is the pixels which are corrupted by Gaussian noise and the other is the pixels which are corrupted by impulse noise.Using the property that high order statistics are not sensitive to Gaussian noise to processing gaussian noise,and can mostly save the image details which greatly dwindling noise.In the experiment,this mixed method can deal with the images which have Gaussian noise and salt-pepper noise effectively,and it saves more details,it has better effect especially for the images have more noise.
Key concepts: Salt-and-pepper noise, Gaussian noise, Median filter, Impulse noise, Computer science, Noise (video), Smoothing, Value noise