一种改进的极值中值滤波算法

An Improved Extremum and Median Filtering Algorithm

针对极值中值滤波算法在去除噪声时存在误检率较高的问题,提出了一种改进的噪声检测去噪算法。该算法首先采用改进的噪声检测方法,进一步减小误检率和漏检率;然后利用信号点对噪声点滤波。经过仿真实验并与其他方法对比分析表明,该方法能够在去除图像噪声的同时保留图像的细节,有效提高图像的输出信噪比。

Aiming at the existence of high wrong-check rate of extremum mediam filtering in denoising imange,an improved image filtering algorithm for the noise is proposed.Firstly,in order to reduce the wrong check rate and error-check rate,the more appropriate method is used to detect noise pixels.And then the signal point is used to filter the noise.Results of the simulation experiment and other methods comparative analysis show that this method can eliminate image noise while retaining the detail of the image,effectively improve the output SNR of the image.