摘要
提出了一种基于高斯拉普拉斯边缘检测的含高斯噪声和脉冲噪声的图像组合滤波去噪方法,即首先对含有混合噪声的图像进行中值滤波,再用高斯拉普拉斯边缘检测方法检测出图像的边缘,得到边缘图像;然后利用自适应Wiener滤波对中值滤波后得到的图像进一步滤波去噪,最后将边缘图像嵌入经Wiener滤波得到的平滑图像中。此种方法不但能够有效去除含高斯噪声和脉冲噪声的图像中的噪声,而且可以保持图像的边缘信息,提高了图像的去噪效果和清晰度。
In this paper, a synthetic filtering denoising method based on LoG （Laplacian of Gaussian） method of edge detection is presented. At first, the median filter is applied to remove impulse noise, latter it detects the edge of image with LoG method of edge detection , and gets the edge image. Then the Wiener filter is employed further to remove Finally, the edge image is embed into the Gaussian and additional noise, and gets the smoothing image smoothing image. The method can not only wipe off effectively the noise of images contaminated by mixed Gaussian and Impulse noise, but also can keep the edge information of images and improve the denoising effect and distinct of images.
出处
《微处理机》
2007年第4期78-80,83,共4页
Microprocessors
