摘要
提出一种基于纹理细节方向性的混合噪音滤波器加速算法(DMNF)。针对混合滤波器(MNF)存在着较大的计算负担问题提出一种加速算法,该算法在计算相似窗口相似程度时,只允许相似窗口中处于0°、45°、90°、135°方向上的像素参与其加权"范数"计算,而忽略其它方向上的像素。以此提高滤波速度。仿真实验证明,DMNF算法在保持MNF的滤波效果的基础上,对各种噪音类型,运算速度均可提高25%以上。
A mixed noise filter acceleration algorithm (DMNF) base on directional texture and detail is proposed, which is the accelerated algorithm for the mixed noise filter (MNF) and the existence of a large computing burden. It only allows similar window at 0 °, 45 °, 90 °, 135 ° direction of pixels involved in the calculation of the weighted ' norm', while ignoring the other direction of the pixels, in the calculation of the similarity degree of a similar window. Therefore, it can improve the filtering speed. Simulation experiments show, for a variety of noise types, on the basis of keeping filtering effect of MNF, DMNF' s filtering speed can be increased by more than twenty-five percent.
出处
《科学技术与工程》
北大核心
2012年第22期5509-5512,5518,共5页
Science Technology and Engineering
基金
河南省教育厅自然科学基金项目(2009C110004)
河南省高校青年骨干教师项目(2009GGJS-176)
中山市科技攻关课题(项目编号:20083A245)资助
关键词
数字图像
混合噪音
滤波
加速算法
digital image mixed noise filter accelerated algorithm