空域滤波与频域滤波下数字图像平滑比较

Comparison of digital image smoothing based on spatial filtering and frequency domain filtering

将噪声信号从图像中提取出来是信号处理中的重点问题,空域滤波和频域滤波技术的日趋成熟为该问题带来了有效的解决方案。针对以往研究中存在的不足加以改进,考虑到峰值信噪比和均方误差两方面因素,引入了三类噪声信号,设计了基于Matlab的数字图像平滑方法。通过对在空域和频域中传输到PC机的图像处理结果进行比对分析,选择适合不同种类噪声的最佳图像平滑算法。仿真结果证明,该方法合理、有效。

Extracting the noise signal from the image is the key problem of signal processing,and an effective solution was brought by the maturity of spatial filtering and frequency domain filtering technology.A digital image smoothing method is proposed in order to overcoming shortcomings of traditional research.This method leads into three types of noise signal and takes into account the peak signal to noise ratio and mean square error of the system.Comparative study of PC image processing results based on spatial and frequency domain filtering technology is done,and the best image smoothing algorithm suitable for different types of noise is summed up.The experimental results show that the method is reasonable and effective.