摘要
在分析含噪图像恢复方法和脉冲噪声概率密度函数的基础上,提出了一种基于点处理理论的脉冲噪声污染图像的恢复算法。该算法依次扫描图像的像素点,判断当前的像素点是否为脉冲噪声数据点,如果为噪声点,则计算空域滤波器的输出结果,并替代该像素点的值;否则,该像素点的值保持不变。实验结果表明,该方法基于像素点的空域处理,具有无排序操作、算法执行速度快和保持图像细节的优点。
Based on the analysis of restoration methods of noisy image and probabilhy density function of pulse noise, a kind of restoration algorithm on pulse noisy image based on a pixel is proposed. The pixel is scanned in a given order and is judged whether it isa pixelwith the pulse noise data or not. If it is a noisy pixel, the output o[a kindof spatial filter is computed and the pixel data is replaced. Otherwise it is unchanged. The experiment resultsshow that it is a kind of spatial filters based on the pixel processing and it has the advantages of no sorting operations, short execution time and keeping the image details.
出处
《软件导刊》
2013年第8期149-152,共4页
Software Guide
基金
黑龙江省教育厅科学技术研究项目(12521101)
关键词
空域滤波器
点处理
脉冲噪声
图像恢复
Spatial Filters
Pixel Processing
Impulse Noise
Image Restoration
