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《Journal of Changchun University of Technology(Natural Science Edition)》 2008-02
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Image hybrid denoise algorithm based on wavelet transform

ZHOU Ming-yue,JIANG Wen-long(College of Information Technology,Jilin Normal University,Siping 136000,China)  
An efficient algorithm based on wavelet transform to remove the noise in the image is proposed,in which,the wavelet coefficients of the image edge features are determined before denoising.The coefficients are kept while the other are denoised with adaptive threshold to remove the Gaussian noise.Then the image is dealt with median filter to remove the noises.The experiment results show that the algorithm not only can efficiently remove the mixed and Gaussian noises but can keep image edge details as well.The filtering performance is better than that of traditional methods.
【CateGory Index】: TP391.41
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