文章基本信息

标题：A Robust adaptive Image Smoothing Algorithm
本地全文：下载
作者：Qin Zhiyuan ; Zhang Weiqian ; Zhang Zhanmu 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2006
卷号：XXXVI Part 7
出版社：Copernicus Publications
摘要：Image smoothing is a key technology of image enhancement, which can remove noise in images. So, it is a necessary functional module in various image-processing software. Excellent smoothing algorithm can both remove various noises and preserve details. This paper analyzed some image smoothing algorithms. These algorithms have the ability of preserving details, such as gradient weighting filtering, self-adaptive median filtering, robust smoothing and edge preserving filtering. A robust smoothing algorithm is presented by combining non-linear and linear filtering according to the respective adaptation to different noises. Tests on images corrupted with various noises show that the new algorithm can both deal with corrupted images robustly and preserve details well
关键词：Image Smoothing; Gaussian noise; Salt and Pepper Noise; Robust; Adaptive