首页> 外文会议>7th World Multiconference on Systemics, Cybernetics and Informatics(SCI 2003) vol.4: Image, Acoustic, Speech and Signal Processing >Application of Linearization Anisotropic Diffusion Equation to Edge-Preserving Image Smoothing
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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持图像平滑中的应用

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摘要

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-pieseiving image smoothing.
机译:提出了一种用于边缘保持图像平滑的稳定各向异性扩散模型。与现有扩散模型相比,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时间坐标线性化,使模型更加稳定,从而大大降低了计算复杂度。我们使用加法算子拆分方案(AOS),它是一种有效且稳定的数值方法,用于实现保留边缘的图像平滑。实验结果表明,本文提出的模型不仅稳定有效,而且在边缘复制图像平滑方面非常有效。

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