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Visual and Artistic Images Denoising Methods Based on Partial Differential Equation

机译:基于偏微分方程的视觉和艺术图像降噪方法

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摘要

Partial differential equation has a remarkable effect on image denoising, compression and segmentation. Based on partial differential equations, the denoising experiment is carried out on those artistic images requiring high degree of visual reduction through the application of 3 image-denoising algorithm models including thermal diffusion equation, P-M diffusion equation and the TV diffusion equation. By this experience, the respective characteristics in image-denoising of these 3 methods can be analyzed so that a better way can be chosen in adapting to digitization of artistic images or in dealing with distant signal.
机译:偏微分方程对图像降噪,压缩和分割有显着影响。在偏微分方程的基础上,通过热扩散方程,P-M扩散方程和TV扩散方程3种图像降噪算法模型,对艺术图像进行降噪实验。以此经验,可以分析这三种方法在图像去噪中的各自特性,从而可以选择一种更好的方式来适应艺术图像的数字化或处理远距离信号。

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