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

机译:一种基于总变化和离散小波变换的协同去噪方法

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摘要

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:传统的总变化去噪方法在高噪声条件下容易出现杂散边缘。本文提出了一种协作滤波方法,其结合了离散小波变换(DWT)和总变化(TV)。总变化方法用于获得去噪图像,然后执行离散小波变换。去噪图像经历小波分解和重建,可以降低边缘效应并提高图像质量。实验结果表明,该方法可以解决变分问题的噪声抑制,同时,它可以为噪声比和一些其他参数提供更好的峰值信号。

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