摘要
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。
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.
出处
《光电子．激光》
EI
CAS
CSCD
北大核心
2008年第1期128-130,共3页
Journal of Optoelectronics·Laser
基金
教育部新世纪优秀人才支持计划资助项目(NCET-05-0897)
新疆维吾尔自治区高校科学研究计划资助项目(XJEDU2004E02
XJEDU2006I10)
