科技视界
科技視界
과기시계
Science&Technology Vision
2014年
34期
180-180,244
,共2页
随机共振%图像复原%噪声%神经元模型
隨機共振%圖像複原%譟聲%神經元模型
수궤공진%도상복원%조성%신경원모형
Stochastic resonance%Image restoration%Noise%Neuron model
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。
隨機共振能將譟聲的部分能量通過非線性繫統作用轉為信號的能量，從而提高輸齣信號的信譟比，這為解決從彊譟聲揹景中檢測提取有用弱信號問題提供瞭一種全新的思路和方法。將隨機共振機製應用于圖像複原，可以提高圖像複原效果，特彆是在處理被彊譟聲汙染的圖像信號時。
수궤공진능장조성적부분능량통과비선성계통작용전위신호적능량，종이제고수출신호적신조비，저위해결종강조성배경중검측제취유용약신호문제제공료일충전신적사로화방법。장수궤공진궤제응용우도상복원，가이제고도상복원효과，특별시재처리피강조성오염적도상신호시。
[Abstract]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.
