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Application of Linearized 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持图像平滑中的应用

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摘要

A stable anisotropic diffusion model for edge-preservlng 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 coordinates 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-preservlng image smoothing. The experimental results show that the model proposed in this paper is not only stable and efficient but can preserve image edge.
机译:提出了一种稳定的各向异性扩散模型,用于边缘保留图像平滑。与现有的扩散模型相比,该模型具有两个重要的新功能。首先是扩散模型具有同时调整扩散系数和调节扩散方向的能力。第二是本质上是非线性的扩散模型沿着时间坐标线性化,这使得模型更加稳定,从而大大降低了计算的复杂度。我们使用加法运算符拆分方案(AOS),这是一种有效且稳定的数值方法,用于实现边缘保留的图像平滑。实验结果表明,该模型不仅稳定高效,而且可以保留图像边缘。

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