基于自适应平滑滤波的图像增强

Image enhancement based on self-adaptive smooth filtering

为了有效增强含有噪声点的图像,采用基于自适应平滑的图像增强方法。首先根据当前像素点与周围相邻像素点灰度之差决定是将此点进行均值滤波还是沿着某方向进行加权滤波,即利用多个平滑模板对图像进行自适应平滑滤波得到平滑后的图像;然后将原图像减去平滑后的图像得到细节图像;最后将细节图像乘以系数后加在平滑后的图像上得到增强的图像。与单纯的平滑、单纯的锐化相比,此方法不仅有效去除了噪声,又增强了图像的细节,增强效果明显。

To enhance the noise image,the image enhancement method based on self-adaptive smooth filtering is adopted in this paper. Firstly,according to the gray difference of the current pixel and the adjacent pixel,it decides whether the average filtering or weighted filtering should be adopted to get the smoothed image,that is,several smooth templates are utilized to per-form the self-adaptive smooth filtering of the image to obtain smoothed image. Secondly,the detailed image is got by detracting the smoothed image from the original image. Last,the enhanced image is achieved by adding the detailed image multiplied by the coefficient to the smoothed image. Compared with the methods which enhance the image by smoothing or sharping only,the method can not only remove noise from images ,but also enhance the details of images obviously.