针对灰度图像的椒盐噪声滤波问题，提出一种保细节的非线性滤波算法。
A nonlinear filtering algorithm was presented to remove salt and pepper noise from gray-scale image while preserving details.
仿真结果表明，基于SVD的非线性滤波算法对干扰有很强的抑制能力，较好地改善了系统的性能。
The simulation results show that the SVD-based nonlinear filtering algorithm has great interference suppression ability, and improves the performance of the system.
图像平滑处理中，如何在去除噪声的同时完整地保留图像边缘细节一直是非线性滤波算法研究的热点问题。
In the smoothing process of image, it is very important for nonlinear filter to reserve fringe detail of image while filtering noise.
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