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arXiv 1605.01465math.AP
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彩色图像降噪的抛物-双曲滤波器

On a Parabolic-Hyperbolic Filter for Multicolor Image Noise Reduction

Valerii Maltsev, Michael Pokojovy

摘要:

我们提出了一种新的基于偏微分方程的各向异性滤波器的降噪图像。它是Nitzberg & Shiota(1992)模型的推广,是著名的抛物线Perona & Malik滤波器(1990)的双曲松弛。首先,我们考虑一个“空间”的molifier型正则化的PDE系统,并利用最大的$L^{2}$ -正则理论的非自治形式证明了一个适定性的结果在弱和强的设置。再次,利用极大$L^{2}$ -正则性理论和Schauder的不动点定理,得到了原拟线性问题的相应解,并证明了解的唯一性和有界梯度.最后,我们的模型的长期行为进行了研究。

英文摘要:

We propose a novel PDE-based anisotropic filter for noise reduction in multicolor images. It is a generalization of Nitzberg & Shiota's (1992) model being a hyperbolic relaxation of the well-known parabolic Perona & Malik's filter (1990). First, we consider a `spatial' molifier-type regularization of our PDE system and exploit the maximal $L^{2}$-regularity theory for non-autonomous forms to prove a well-posedness result both in weak and strong settings. Again, using the maximal $L^{2}$-regularity theory and Schauder's fixed point theorem, respective solutions for the original quasilinear problem are obtained and the uniqueness of solutions with a bounded gradient is proved. Finally, the long-time behavior of our model is studied.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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