Different means are used for different kinds of noise respectively. The edges of target and background are enhanced and the elimination of Gauss noise and pulse noise are reduced.
该算法对红外图像处理过程中不同类型的噪声采用不同的方法滤波,有效地滤除了高斯噪声和脉沖噪声,同时增强了目标和背景中的边缘成分。
The results show that the image segmentation results are better when the Gauss noise influence is dissolved. The target image is kept in shape and the location is good.
结果表明,对含有高斯噪声影响的图像有较好的分割结果,目标图像的区域形状保持好、相对位置明确。
This paper evaluated median filter in company with wavelet transformation to process X-ray image that contained Gauss noise and impulse noise at the same time.
利用中值滤波和基于小波变换的去噪声处理对同时含有高斯噪声和脉沖噪声的X线图像降噪方法进行探讨。
The conventional average filter and median filter have different filtering characteristics to Gauss noise and impulse noise.
传统均值滤波和中值滤波对高斯型噪声和椒盐型噪声有着不同的滤波特性。
To remove mixed impulse noise and Gauss noise in digital images, a new mixed filter based on the adaptive median filter and fuzzy weighted mean filter is proposed.
实验表明,该算法能有效滤除图像中的高斯噪声和斑点噪声,同时能很好地保持图像中的细节部分且比较容易用硬件实现。
The experiment shows that these two methods can reduce the Gauss noise effectively.
实验表明,针对于高斯噪声,这两种改进方法降噪效果很好。