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MIXED NOISE REDUCTION

机译:混合降噪

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摘要

For real images corrupted by noise, the noise usually does not follow the gaussian model -rnfor which filtering techniques such as Wiener filtering or wavelet reduction coefficients are efficient –rnor the impulse salt and pepper noise - for which statistical order filters are suitable. There is arnconsiderable amount of literature about image denoising using wavelet-based methods. Wernimplemented different noise removal algorithms in the wavelet domain. We also proposed a new filterrnand we compared its performance in terms of PSNR with some efficient known denoising methods.
机译:对于被噪声破坏的真实图像,噪声通常不遵循高斯模型-高斯模型,对于这种滤波技术,例如维纳滤波或小波折减系数是有效的–或脉冲盐和胡椒噪声-统计阶数滤波器适用。关于使用基于小波的方法进行图像降噪的文献非常多。在小波域中实现了不同的噪声去除算法。我们还提出了一种新的滤波器,并将其在PSNR方面的性能与一些有效的已知降噪方法进行了比较。

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