摘要
图像平滑作为去除图像中含有噪声的图像增强处理技术,是各种与图像有关软件中必不可少的功能模块。文中在分析噪声模型的基础上,对均值平滑、中值平滑、边缘保持平滑等技术从图像处理空间域中的算法原理、实现方法及效率等方面进行了详细比较。针对图像中含有的不同噪声模型,通过多次试验,得出了值得从事图像处理研究者参考的结论。这将有助于提高图像处理软件开发的效率。
As a key image enhancement technology to remove the noise in images, image smoothing is a necessary function in various image-processing software. In this paper, mean smoothing,median smoothing,edge keeping smoothing and so on are discussed based on analyzing noise model ,then their corresponding algorithm principle, realization methods and work efficiency are compared with each other.Tests on corrupted images of different noise model show that methods in the paper can be the reference of image processing researchers, and improve the efficiency of the development of image processing software.
出处
《测绘学院学报》
北大核心
2005年第2期103-106,共4页
Journal of Institute of Surveying and Mapping
关键词
图像平滑
高斯噪声
椒盐噪声
均值平滑
中值平滑
边缘保持平滑
image smoothing
Gaussian noise
salt and pepper noise
mean smoothing
median smoothing
edge keeping smoothing
