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《Journal of Changchun University of Science and Technology(Natural Science Edition)》 2009-02
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HOS-based Wavelet Denoising Algorithm

ZHOU Mingyue,DU Limin,JIANG Wenlong (School of Information Technologe,Jilin Normal University,Siping 136000)  
The image is often corrupted by noise in its acquisition or transmission. The traditional denoise before analysis will cause the image detail change fuzzy when filter out image noise. In the paper, an efficient technique based on Bispectral and Wavelet transform is proposed. According to the characteristic of ‘Gaussian’noise and‘salt and pepper’noise under wavelet transform, the high-frequency subband images is filtered with the property of Bispectral filter, this remove the‘Gaussian’noise. Then the subband images is denoised by using median filter to remove the‘salt and pepper’noise. The experiment results show that the method not only efficiently remove the mixed‘salt and pepper’noise and 'Gaussian' noise in image, but also preserve the image edge information.The filtering performance is better than that by traditionaldenoising method.
【Fund】: 校科研启动基金
【CateGory Index】: TP391.41
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