Gaussian filtering in one, two or three dimensions is among the most commonly needed tasks in signal and image processing. Finite impulse response filters in the time domain with Gaussian masks are easy to implement in either floating or fixe

为了在抑制噪声时尽可能保留图像边缘信息，提出一种自适应各向异性高斯滤波器设计方法. 该方法由独立 强度传播（IDS）模型决定滤波器的长轴尺度，由像素的邻域平滑度决定长短轴的比例，然后根据该处的灰度梯度方 向自适应决定各向异性滤波器的长轴方向. 仿真实验表明，提出的自适应各向异性滤波器具有很强的噪声抑制和 边缘保持能力. -In order to suppress noise, as far as possible to keep the image edge informati

the package contains some methods of diffusion filters to smooth the noisy images without losing important data such as edges in image analysis,including anisotropic diffusion(Perona-Malik), linear isotropic,median and Low Pass Gaussian filter.

各向异性高斯滤波器是从高斯滤波器发展而来，成为图形图像的重要特征.-Anisotropic Gaussian filter the Gaussian filter evolved to become an important feature graphic images.

非线性扩散滤波和高斯滤波相比，可以保留图像边缘细节。-Nonlinear diffusion filtering and Gaussian filter compared to that preserves image edge detail.