首页 | 官方网站   微博 | 高级检索  
     

双稳态自适应随机共振的强噪声图像复原研究
引用本文:沈伟,庞全,范影乐.双稳态自适应随机共振的强噪声图像复原研究[J].计算机工程与应用,2009,45(15):180-182.
作者姓名:沈伟  庞全  范影乐
作者单位:杭州电子科技大学 生物医学工程与仪器研究所,杭州 310018
基金项目:国家自然科学基金,浙江省科技计划重点项目 
摘    要:传统的图像滤波复原技术一般都是对图像中的噪声加以抑制或消除,但图像在强噪声污染时传统的方法消除噪声很困难。根据随机共振可以利用噪声增强弱信号的特性,提出了一种通过比较互信息熵,自适应调节参数使双稳态系统达到随机共振来复原含噪图像的方法。实验结果表明,在强噪声背景下与传统滤波复原方法相比,该方法复原信噪比更高,鲁棒性好,改善了图像复原的效果。

关 键 词:自适应  随机共振  非线性双稳态系统  图像复原
收稿时间:2008-3-24
修稿时间:2008-6-3  

Study on strong noise image restoration based on adaptive stochastic resonance in bistable system
SHEN Wei,PANG Quan,FAN Ying-le.Study on strong noise image restoration based on adaptive stochastic resonance in bistable system[J].Computer Engineering and Applications,2009,45(15):180-182.
Authors:SHEN Wei  PANG Quan  FAN Ying-le
Affiliation:Institute of Biomedical Engineering and Instrument,Hangzhou Dianzi University,Hangzhou 310018,China
Abstract:Traditional methods for image restoration usually focus on eliminating noises to accomplish restoring image,but for images polluted by strong noises,it is hard to achieve it in this way.Stochastic resonance can use noise to enhance signals,and due to this feature,a method for image restoration is proposed,which the bistable system adaptively adjusts its parameters by comparing mutual entropy to generate stochastic resonance.Results show that images restored based on the method introduced by this paper,have ...
Keywords:adaptive  stochastic resonance  nonlinear bistable system  image restoration
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
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-23

京公网安备 11010802026262号