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。
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.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第15期180-182,共3页
Computer Engineering and Applications
基金
国家自然科学基金No.60374047
浙江省科技计划重点项目(No.2006C23047)~~
关键词
自适应
随机共振
非线性双稳态系统
图像复原
adaptive
stochastic resonance
nonlinear bistable system
image restoration
