Mixed Filter for Image Denoising
Xin Guan
Abstract
Xin Guan
Abstract
The conventional average filter and median filter have different filtering characteristics to Gauss noise and impulse noise. In fact, image usually is corrupted by Gauss noise and impulse noise simultaneously, so good filtering effect cannot be obtained if we only use average filter or median filter. In this paper, a new mixture filter method is proposed. The proposed method first classsifies the pixels into two classes, one is the pixels which are corrupted by Gauss noise and the other is the pixels corrupted by impulse noise and then average filter is used for the pixels corrupted by Gauss noise and median filter is used for the pixels corrupted by impulse noise. The simulation result verifies that the proposed method is feasible and efficient.
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The conventional average filter and median filter have different filtering characteristics to Gauss noise and impulse noise. In fact, image usually is corrupted by Gauss noise and impulse noise simultaneously, so good filtering effect cannot be obtained if we only use average filter or median filter. In this paper, a new mixture filter method is proposed. The proposed method first classsifies the pixels into two classes, one is the pixels which are corrupted by Gauss noise and the other is the pixels corrupted by impulse noise and then average filter is used for the pixels corrupted by Gauss noise and median filter is used for the pixels corrupted by impulse noise. The simulation result verifies that the proposed method is feasible and efficient.
Key concepts: Impulse noise, Salt-and-pepper noise, Median filter, Dark-frame subtraction, Noise reduction, Filter (signal processing), Gaussian noise, Mathematics