首页 | 本学科首页   官方微博 | 高级检索  
   检索      

分数域图像混合噪声盲复原方法
引用本文:刘莉,谭吉春.分数域图像混合噪声盲复原方法[J].国防科技大学学报,2011,33(3):52-55,98.
作者姓名:刘莉  谭吉春
作者单位:1. 国防科技大学光电学院,湖南长沙410073;长沙学院电子与通信工程系,湖南长沙410003
2. 国防科技大学理学院,湖南长沙,410073
摘    要:提出了一种在分数傅里叶变换域中对图像进行复原的新方法.对于模糊且含有高斯噪声和啁啾噪声的图像进行分数傅里叶变换,利用各种噪声在分数域中的性质估计出复原图像的分数谱,再通过逆分数傅里叶变换返回空域,获得复原图像.在图像受到多种因素导致退化的情况下,以及在无任何先验知识的前提下,此方法可以简化复原过程,进行图像盲复原.

关 键 词:分数傅里叶变换  噪声谱  图像复原
收稿时间:3/5/2011 12:00:00 AM

A New Method of Mixed Noise Image Restoration in Fractional Fourier Transform Domain
LIU Li and TAN Jichun.A New Method of Mixed Noise Image Restoration in Fractional Fourier Transform Domain[J].Journal of National University of Defense Technology,2011,33(3):52-55,98.
Authors:LIU Li and TAN Jichun
Institution:1.College of Optoelectrics,National Univ.of Defense Technology,Changsha 410073,China;2.Department of Electronics and Communications Engineering,Changsha University,Changsha 410003,China;3.College of Science,National Univ.of Defense Technology,Changsha 410073,China)
Abstract:A new method of image restoration based in Fractional Fourier Transform (FRT) domain is presented. The blurred image including higher intensity Gaussian noise and chirp noise is transformed into FRT domain. Only when the noise FRT spectrum is well estimated, the required image FRT spectrum can be well separated and return to the space domain with the inverse ransformation. As a result, we find that the method simplifies the process of restoration and the blind restoration will be obtained when we know nothing about the degradation process affected by various factors.
Keywords:fractional fourier transform  noise spectrum  image restoration
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《国防科技大学学报》浏览原始摘要信息
点击此处可从《国防科技大学学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号