The re-weighted M-estimator is bilateral filtering in natural.
在本质上，二次加权的M-估计器就是双向滤波器。
Simulation results prove that, compared with traditional bilateral filtering, the presented algorithm can remove noise and maintain image feature more effectively at the same time.
仿真实验表明，该算法相对一般双边滤波，能够在去除噪声的同时，更好地保持图像特征。
Since bilateral filtering method can make the weight coefficient of filter vary with image brightness, so the adaptive filtering effect can be attained during the filtering process.
由于双边滤波的方法可以使滤波器的权系数随着图像的亮度变化而改变，所以在滤波过程中能达到自适应滤波的目的。
The system includes an improved mesh denoising method based on bilateral filtering of images, sharp features extraction, feature-preserving mesh simplification and topological optimization.
该系统包括了一种改进的基于图像双边滤波器的网格噪声去除方法，模型的尖锐特征提取以及保持尖锐特征的网格简化和拓扑优化。
The system includes an improved mesh denoising method based on bilateral filtering of images, sharp features extraction, feature-preserving mesh simplification and topological optimization.
该系统包括了一种改进的基于图像双边滤波器的网格噪声去除方法，模型的尖锐特征提取以及保持尖锐特征的网格简化和拓扑优化。
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