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A Cooperative Denoising Method Based on Total Variation and Discrete Wavelet Transform

机译:基于总变分和离散小波变换的协同降噪方法

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The traditional total variation denoising method is prone to spurious edges under high noise conditions. This paper proposed a cooperative filtering method, which combines discrete wavelet transform (DWT) and total variation (TV). The total variation method is used to obtain the denoised image, and then the discrete wavelet transform is performed. The denoised image undergoes wavelet decomposition and reconstruction, could reduce the edge effect and improve the image quality. The experimental results show that the proposed method could solve the noise suppression of variational problems, at the same time, it could provide better peak signal to noise ratio and some other parameters.
机译:传统的总方差去噪方法在高噪声条件下容易产生伪边。提出了一种结合离散小波变换(DWT)和总变化量(TV)的协同滤波方法。使用总变化方法获得去噪图像,然后执行离散小波变换。去噪后的图像经过小波分解和重构,可以减少边缘效应,提高图像质量。实验结果表明,该方法可以解决变分问题的噪声抑制,同时可以提供更好的峰值信噪比和其他一些参数。

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