计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (15): 180-182.DOI: 10.3778/j.issn.1002-8331.2009.15.052

• 图形、图像、模式识别 • 上一篇    下一篇

双稳态自适应随机共振的强噪声图像复原研究

沈 伟,庞 全,范影乐   

  1. 杭州电子科技大学 生物医学工程与仪器研究所,杭州 310018
  • 收稿日期:2008-03-24 修回日期:2008-06-03 出版日期:2009-05-21 发布日期:2009-05-21
  • 通讯作者: 沈 伟

Study on strong noise image restoration based on adaptive stochastic resonance in bistable system

SHEN Wei,PANG Quan,FAN Ying-le   

  1. Institute of Biomedical Engineering and Instrument,Hangzhou Dianzi University,Hangzhou 310018,China
  • Received:2008-03-24 Revised:2008-06-03 Online:2009-05-21 Published:2009-05-21
  • Contact: SHEN Wei

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。

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 higher SNR,better robustness,and are more superior to traditional methods.