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Wavelet denoising in non gaussian noise using MDL principle

机译:使用MDL原理对非高斯噪声进行小波去噪

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Wavelet methods have succeeded in image denoising in gaussian noise. In non-gaussian noise, however, these methods will degrade drastically. By employing the MDL principle and a wavelet coefficient model, this paper discusses a study on image denoising in gaussian mixture noise. A new denoising scheme is derived and is based on per pixel detection. Experiment results show that the new scheme can not only denoise the image with small square error, but also provide a facility for the further compression.
机译:小波方法已经成功地对高斯噪声进行了图像去噪。但是,在非高斯噪声中,这些方法将大大降低性能。利用MDL原理和小波系数模型,讨论了高斯混合噪声中图像去噪的研究。推导了一种新的降噪方案,该方案基于每个像素检测。实验结果表明,新方案不仅可以对图像进行平方误差小的去噪,而且为进一步的压缩提供了便利。

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