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A Four-Pixel Scheme for Singular Differential Equations

机译:奇异微分方程的四像素方案

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Singular diffusion equations such as total variation (TV) and balanced forward-backward (BFB) diffusion are appealing: They have a finite extinction time, and experiments show that piecewise constant structures evolve. Unfortunately, their implementation is awkward. The goal of this paper is to introduce a novel class of numerical methods for these equations in the 2D case. They are simple to implement, absolutely stable and do not require any regularisation in order to make the diffusivity bounded. Our schemes are based on analytical solutions for 2 x 2-pixel images which are combined by means of an additive operator splitting (AOS). We show that they may also be regarded as iterated 2D Haar wavelet shrinkage. Experiments demonstrate the favourable performance of our numerical algorithm.
机译:总扩散(TV)和平衡前后扩散(BFB)扩散等奇异扩散方程很吸引人:它们具有有限的消光时间,并且实验表明,分段常数结构会不断发展。不幸的是,它们的实现很尴尬。本文的目的是为二维情况下的这些方程引入一类新型的数值方法。它们易于实施,绝对稳定,并且不需要任何正则化就可以使扩散性有界。我们的方案基于2 x 2像素图像的解析解决方案,这些解决方案通过加法运算符拆分(AOS)进行组合。我们表明,它们也可以被视为迭代2D Haar小波收缩。实验证明了我们数值算法的良好性能。

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