First it determines and moves the impulse noisy pixels by the adaptive median filter algorithm based on human vision system. Then a detail-preserving fuzzy filter is adopted to reduce Gaussian noise contained in the pixels.
该方法首先采用人眼视觉特性的自适应中值滤波方法检测并滤除脉冲噪声点,然后对于含有高斯噪声的像素点则采用一种保护细节的改进的自适应模糊滤波器进行处理。
参考来源 - 基于人眼视觉特性的自适应滤波算法Experimental results show that these filters give superior performance compared with conventional filters and other fuzzy filter.
实验表明这些方法滤波效果优于传统的滤波器和其它模糊滤波器。
参考来源 - 基于模糊技术的图像处理方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Then a fuzzy filter is adopted to remove Gaussian noise.
然后对含有高斯噪声的图像以模糊滤波算法进行降噪处理。
The dissipative fuzzy filter is studied for a class of nonlinear systems with missing data.
研究了具有数据丢失的网络控制系统的建模与控制问题。
On this, a combined filter of median fuzzy filter with one phrase recurrence filter is built.
作者考察变换域滤波器组合系统之一，离散理想滤波器组合及其在信号处理中的应用。
应用推荐