【摘要】 在图像的平滑处理过程中,如何在噪声滤除的同时保护图像的细节一直是人们研究的热点问题。针对这一问题,在Hwang和Haddad提出的一种自适应中值滤波算法(ranked-order based adaptive median filter,RAMF)的基础上,提出了一种改进的自适应中值滤波算法。该算法在以下3方面做了改进:①对可疑噪声点实行噪声二次检测;②对高密度噪声区的噪声点利用滤窗内的信号点进行滤波;③对低密度噪声区的噪声点根据滤窗内图像的纹理走向进行滤波。仿真实验结果表明,该算法的滤波效果理想。更多还原

【Abstract】 To reserve fringe detail of an image while filtering noise in the smoothing process of image still remains a challenge.In this paper an improved adaptive median filter algorithm based on the standard median filter,the Ranked-order based adaptive median filter(RAMF) is presented.This method introduces three improved aspects: double-examine for dubious noisy pixels;noise pixels within the filter window with high density are filtered according to signal pixels;within the filter window for noise pixels with low density are filtered according to fringe detail of the image.We concluded based on the results of the computer simulation experiments on adaptive median filter that the method proposed in this paper is better than the standard median filter and RAMF.更多还原