基于灰预测的图象去噪新方法  

New Method of Image Denoising Based on Grey Forecast

作　　者：谢松云[1] 张坤[1] 张海军[1] 

机构地区：[1]西北工业大学电子信息学院,陕西西安710072

出　　处：《微电子学与计算机》2006年第12期151-153,共3页Microelectronics & Computer

基　　金：国家自然科学基金项目(30470459);西北工业大学科技创新基金项目(M450212)

摘　　要：抑制噪声是图象处理中极其重要的步骤,如何合理消除大量的噪声,又使图象保持原有的各类信息、保证图象质量一直是人们的努力目标。文章尝试与探讨了基于灰色GM(1,1)模型的图象去噪新算法,并与传统的图象滤波方法相比较,实验结果证明,该算法既可以有效地降低噪声,又可以较好地保持图象质量和细节,为图象去噪提供了新的方法。Image denoinsing is a vital importance step in the image processing. It is an effort goal for people to find a kind of method through which can not only reduce noise effectively but also hold original image detail preferably. A novel algorithm of image denoising based on GM （1,1） is put forward in this paper.In order to prove the validity of the algorithm, the average filter and median filter are chosen for compare. The comparative result indicates that through the new method we can not only reduce the noise effectively but also get perfect quality of image. It provide a new method to image denoising.

关 键 词：图象去噪 滤波器 灰预测 GM(1 1) 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]