改善数字图像质量的滤波方法研究

图像的低通滤波可以消除噪声,提高信噪比,增加图像的清晰度,并能提取图像的特征作为识别目标的模式。文章介绍了空域中均值滤波器和中值滤波器以及频域中理想低通滤波器、巴特沃斯低通滤波器和高斯低通滤波器三种低通滤波器的基本原理和应用,并通过实例验证与分析用不同的方法对图像进行分析处理后所得到的实验结果,最后比较这些方法各自的优缺点。

Research on Filtering Methods for Digital Image Quality Improvement

The algorithms shown in this paper can remove the noises in the images,increase the SNR of the images,improve the clarity of an image,and can abstract the features in the images used as a pattern for object reorganization in the images by low-pass filtering.This paper first introduces mainly the mean filtering and mid-value filtering in the spatial domain,and explains the principle and applications of these types of low-pass filters in the frequency domain including Ideal low-pass filter,Butterworth low-pass filter and Gaussian filter.Finally this paper demonstrates the image processing results including image denoising and image quality improvement by low-pass filtering,and compares the merits and demerits of these methods respectively.