基于人眼视觉特性的自适应中值滤波算法

为了在滤除图像椒盐噪声的同时能很好地保持图像的细节,提出了一种基于人眼视觉特性(HVS)的自适应中值滤波算法.该方法首先采用基于HVS的噪声敏感系数作为阈值来确定噪声点,然后自适应调整滤波窗口大小,采用迭代中值滤波对噪声点进行滤波.该算法与标准中值(SM)滤波及其它改进中值滤波算法相比,具有更好的滤波性能.

Adaptive median filter algorithm based on human visual system

In order to achieve very good salt and pepper noise cancellation as well as preserving image detail,an adaptive median filter algorithm based on human vision system is proposed. First it determines the possible noisy pixels according to the noisy sensitive coefficient which is based on human vision system,then the noisy pixels is removed by the iterative median filtering algorithm,and the filter window size is adaptively adjusted. The algorithm has better filtering performance than the standard median filter and other improved median filters.