摘要
提出了一种基于改进噪声检测的迭代中值滤波算法.该算法首先检测出噪声点,然后利用信号点对噪声点滤波.其中噪声检测方法改进了IMFLED方法,进一步降低了误检率和漏检率.经过仿真实验并与其他滤波算法进行比较表明,该算法可以有效地去除图像中的脉冲噪声并且保留原图像的细节.
An iterative median filtering algorithm based on improved noise detection is presented. The algorithm detects the corrupted pixels first and filters the corrupted pixels by using the noise - free pixels. The noise detection strategy improves the IMFLED technique. Then the ratios of incorrect noise detection and corrupted pixels leaving out are reduced. Simulation results demonstrate that this algorithm is superior to other existing median - based filters, effective in impulse niose suppression and detail preservation.
出处
《军械工程学院学报》
2005年第5期65-67,共3页
Journal of Ordnance Engineering College
关键词
噪声检测
中值滤波
细节保护
图像处理
noise detection
median filtering
detail - preserving
image processing
