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Application of Nonlinear Time-Fractional Partial Differential Equations to Image Processing via Hybrid Laplace Transform Method

机译:非线性时间分数阶偏微分方程在混合拉普拉斯变换方法图像处理中的应用

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This work considers a hybrid solution method for the time-fractional diffusion model with a cubic nonlinear source term in one and two dimensions. Both Dirichlet and Neumann boundary conditions are considered for each dimensional case. The hybrid method involves a Laplace transformation in the temporal domain which is numerically inverted, and Chebyshev collocation is employed in the spatial domain due to its increased accuracy over a standard finite-difference discretization. Due to the fractional-order derivative we are only able to compare the accuracy of this method with Mathematica’s NDSolve in the case of integer derivatives; however, a detailed discussion of the merits and shortcomings of the proposed hybridization is presented. An application to image processing via a finite-difference discretization is included in order to substantiate the application of this method.
机译:这项工作考虑了一种针对一维和二维多维立方非线性源项的时间分数扩散模型的混合求解方法。对于每种尺寸情况,都考虑了Dirichlet和Neumann边界条件。混合方法涉及在时域中进行数字倒置的Laplace变换,并且由于在标准有限差分法上提高了精度,因此在空间域中采用了切比雪夫搭配。由于存在分数阶导数,因此在整数导数的情况下,我们只能将该方法与Mathematica的NDSolve进行比较;然而,提出了对拟议的杂交的优缺点的详细讨论。为了证实该方法的应用,包括了通过有限差分离散化在图像处理中的应用。

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