Chapter 16: Image Restoration by Non-standard Diffusion

M. Maouni, F. Z. Nouri, D. Meskine
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Abstract

Many authors used different techniques for image restoration. Variational approaches are mainly used for this purpose. For example, the Mumfort-Shah is a model type for the free discontinuity in the restoration and segmentation of images. The main characteristic of this model is the isotropic diffusion, minimizing the length of the boundaries, while the classical models due to Rudin-Osher-Fatmi, minimize the total variation of the longest curves in the images. In this work we propose a new partial differential equation of order four that can be used for image restoration. This proposed model is a combination of the fast growth with respect to low curvature and the slow growth when the gradient is large. Numerical results are presented for both second and fourth order partial differential equations.
第十六章:非标准扩散图像恢复
许多作者使用了不同的图像恢复技术。变分方法主要用于此目的。例如,Mumfort-Shah是一种用于图像恢复和分割的自由不连续模型类型。该模型的主要特点是各向同性扩散,使边界长度最小化,而经典模型由于Rudin-Osher-Fatmi,使图像中最长曲线的总变化最小化。在这项工作中,我们提出了一个新的四阶偏微分方程,可以用于图像恢复。该模型是低曲率下的快速增长和梯度较大时的缓慢增长的结合。给出了二阶和四阶偏微分方程的数值结果。
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