2005Unpublished venueRequires access

Mixed Filter for Image Denoising

Xin Guan

Open publisher page 11 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Impulse noise, Salt-and-pepper noise, Median filter, Dark-frame subtraction, Noise reduction, Filter (signal processing), Gaussian noise, Mathematics

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