而基于偏微分方程的图像平滑技术恰好能解决这一问题。
Imagesmoothing technology based on PDE is an adaptive smoothing method.
近年来，基于偏微分方程的图像平滑技术受到越来越多的关注。
Recently, the image smoothing method based on PDE attract attention of more and more.
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。
The key of image nonlinear diffusion filtering based on PDE (Partial Differential Equations) is to determine the appropriate diffusion mechanism and parameters.
根据曲线演化和水平集函数演化的思想，提出了一种基于偏微分方程的图像处理方法。
We propose a new image processing method based on PDE with the reference of curve and level-set function involution theories.
进而深入研究了经典的基于偏微分方程的后处理方法，包括方向扩散，自蛇模型等非线性扩散方程。
After that we studied several Post-processing models based on PDE of Anisotropic Diffusion, including Directional Diffusion and Self-Snake model.
仿真结果表明，用本文提出的简化模型能较好地逼近基于偏微分方程的严格模型，且结构简单，易于应用。
Simulation results show that the simplified model provided by this method can satisfactorily imitate rigorous model in addition to its simple structure and feasibility for on line applications.
该文详细介绍了几种基于偏微分方程的图像平滑方法，进而根据理论分析和实验结果对几种方法进行比较。
In this paper, several image smoothing models based on PDE are introduced in detail. Image smoothing models are compared according to theory analysis and experiment results.
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。
Based on partial differential equations (PDE), we propose a novel image magnification approach which consists of oriented diffusion, fidelity term and shock filter.
本文在基于偏微分方程的图像去噪方面进行了以下的研究：就非线性扩散偏微分方程的解法，引入了跳点有限差分格式。
We made the following research in image denoising based on PDEs. On the solution of nonlinear partial differential equations, the check-board finite difference scheme is introduced.
针对传统扩散模型中的边界模糊问题，提出一种基于非局部信息的非线性偏微分方程去噪模型。
A nonlinear partial differential equation model based on nonlocal information was proposed to remove noise and preserve the edges.
该文提出了一种基于各向异性扩散偏微分方程抑制干涉合成孔径雷达(INSAR)相位噪声的算法。
IN this paper, a new method which is based on anisotropic diffusion equation for INSAR phase noise reduction is proposed.
研究了基于MOSFET偏微分方程(PDE)模型的电路仿真算法，并提出一种求解pde的快速算法。
In this paper, we present a circuit simulation algorithm based on the partial differential equation (PDE) model of MOSFETs, together with a fast algorithm for solving the PDE.
首先，论文提出了基于图像小波分解三系数关联去噪方法，利用该方法与偏微分方程中的几何曲率驱动扩散模型相结合，得到高质量恢复图像的图像去噪方法。
In the first, we propose three coefficients Trivariate Shrinkage method, using this technique and geometry curvature-driven diffusion, a new high quality image noisy removal is obtained.
本文介绍了主要的基于变分偏微分方程的用于图像处理的方法，并且对每种方法进行了分析。
In this paper, some methods are introduced, which process images based on PDEs and variational approaches, as well as analyzed.
将分数阶微分理论和全变分方法相结合应用于图像去噪，提出了一种基于分数阶偏微分方程的图像去噪新模型。
Combining fractional order differential theory with total variation method, a new image denoising model was proposed, which was based on fractional Partial Differential Equation (PDE).
将分数阶微分理论和全变分方法相结合应用于图像去噪，提出了一种基于分数阶偏微分方程的图像去噪新模型。
Combining fractional order differential theory with total variation method, a new image denoising model was proposed, which was based on fractional Partial Differential Equation (PDE).
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