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Application of Linearization Anisotropic Diffusion Equation to Edge-Preserving Image Smoothing

机译:线性化各向异性扩散方程在边缘保护图像平滑的应用

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A stable anisotropic diffusion model for edge-preserving image smoothing is presented. By comparison with existing diffusion models, this model has two significant new features. The first is that the diffusion model has the ability to adjust the diffusion coefficient and to regulate diffusion orientation simultaneously. The second is that the diffusion model being nonlinear in essence is linearized along time coordinate, which makes the model more stable and thus the complexity of computation is reduced greatly. We use an additive operator splitting scheme (AOS) that is an efficient and stable numerical method to implement the edge-preserving image smoothing, The experimental results show that the model proposed in this paper is not only stable and efficient, but very effective in terms of edge-preserving image smoothing.
机译:提出了一种用于边缘保留图像平滑的稳定的各向异性扩散模型。通过与现有的扩散模型进行比较,该模型具有两个重要的新功能。首先是扩散模型具有调节扩散系数的能力并同时调节扩散方向。其次是沿着时间坐标的非线性是非线性的扩散模型,这使得模型更稳定,因此计算的复杂性大大减少。我们使用一种添加剂操作员分裂方案(AOS),即高效稳定的数值方法来实现边缘保持的图像平滑,实验结果表明,本文提出的模型不仅稳定而有效,而且非常有效边缘保留图像平滑。

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