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Nonlinear Diffusion-based Image Restoration Model

机译:基于非线性扩散的图像恢复模型

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A novel nonlinear PDE - based image denoising and restoration approach is provided in this article. The proposed anisotropic diffusion based technique is derived from the influential Perona-Malik nonlinear diffusion scheme, representing an enhanced version of that scheme. Our model is based on new versions of the edge-stopping function and the conductance parameter. The proposed PDE-based filtering technique performs an efficient edge-preserving noise removal, outperforming the conventional smoothing approaches and other PDE denoising models.
机译:本文提供了一种新型非线性PDE基于图像去噪和恢复方法。所提出的各向异性扩散基的技术来自于影响该方案的增强版本的有影响力的Perona-Malik非线性扩散方案。我们的模型基于边缘停止功能的新版本和电导参数。所提出的基于PDE的滤波技术执行有效的边缘保留噪声去除,优于传统的平滑方法和其他PDE去噪模型。

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