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Image-Denoising Based on Bior Wavelet Transform and Median Filter

机译:基于Bior小波变换和中值滤波的图像去噪

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The median filter is a common filter, which can get a good result with impulse noise, but it can''t work well with Gauss noise. At the meanwhile wavelet transform can remove Gauss noise efficiently. In this paper,combined with Biorthogonal wavelet transform and median filtering, an efficient image-denoising method was presented. Experiment result shows that the noise of the image is removed effectively. At the same time, the detail of the image is kept well. The method has better denoising effect than single wavelet thresholding method or median filtering method.
机译:中值滤波器是一种常见的滤波器,在脉冲噪声的情况下可以获得很好的效果,但在高斯噪声的情况下效果不佳。同时,小波变换可以有效地去除高斯噪声。结合双正交小波变换和中值滤波,提出了一种有效的图像去噪方法。实验结果表明,该图像的噪声得到了有效的去除。同时,图像的细节保持良好。与单小波阈值法或中值滤波法相比,该方法具有更好的去噪效果。

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