Based on partial differential equations (PDE), we propose a novel image magnification approach which consists of oriented diffusion, fidelity term and shock filter.
提出一种新的基于偏微分方程(PDE)的图像放大算法。算法模型由方向扩散、保真项和冲击滤波构成。
Many mathematical models in the fields of physics, chemistry, biology and geology can be boiled down to the fixed solution problem of linear or nonlinear partial differential equations (PDE.)
物理、化学、生物、地质等领域的很多模型都可归结为线性或非线性偏微分方程的定解问题。
The key of image nonlinear diffusion filtering based on PDE (Partial Differential Equations) is to determine the appropriate diffusion mechanism and parameters.
基于偏微分方程的图像非线性扩散滤波，关键是确定合适的扩散机制与参量。
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