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A fourth-order PDE denoising model with an adaptive relaxation method

机译:自适应松弛法的四阶PDE去噪模型

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摘要

In this paper, an adaptive relaxation method and a discontinuity treatment of edges are proposed to improve the digital image denoising process by using the fourth-order partial differential equation (known as the YK model) first proposed by You and Kaveh. Since the YK model would generate some speckles into the denoised image, a relaxation method is incorporated into the model to reduce the formation of isolated speckles. An additional improvement is employed to handle the discontinuity on the edges of the image. In order to stop the iteration automatically, a control of the iteration is integrated into the denoising process. Numerical results demonstrate that such modifications not only make the denoised image look more natural, but also achieve a higher value of PSNR.
机译:本文提出了一种自适应松弛方法和边缘的不连续性处理方法,以利用You和Kaveh首先提出的四阶偏微分方程(称为YK模型)来改进数字图像去噪处理。由于YK模型将在去噪图像中生成一些斑点,因此将松弛方法合并到模型中以减少孤立斑点的形成。采用附加的改进来处理图像边缘上的不连续性。为了自动停止迭代,将迭代控制集成到降噪过程中。数值结果表明,这种修改不仅使去噪图像看起来更加自然,而且获得了更高的PSNR值。

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