摘要
随机共振能将噪声的部分能量通过非线性系统作用转为信号的能量,从而提高输出信号的信噪比,这为解决从强噪声背景中检测提取有用弱信号问题提供了一种全新的思路和方法。将随机共振机制应用于图像复原,可以提高图像复原效果,特别是在处理被强噪声污染的图像信号时。
Stochastic resonance can transform part of the energy of noise through a nonlinear system into the energy of the signal, thus improving the SNR of output signal, which provides a new thought and method to solve the problem of detecting and extracting the useful signal from strong noise background. Stochastic resonance is applied in the image restoration, which can have better effects on promoting the image quality, especially when recovering the image signals polluted by the strong noise.
出处
《科技视界》
2014年第34期180-180,244,共2页
Science & Technology Vision
关键词
随机共振
图像复原
噪声
神经元模型
Stochastic resonance
Image restoration
Noise
Neuron model
