摘要
提出采用独立分量分析法去除同场景多幅图像中斑纹噪声的方法。包含在同场景多幅图像中的图像信号和噪声信号可以认为是相互独立的,独立分析方法则可以用来对这些图像进行分解,并将它们进行有效地分离,以达到滤除图像中的斑纹噪声。实验结果表明,利用同场景多幅图像来进行去噪的效果比对单幅图像去噪的效果要好;和平均法、平均同态维纳法和同态维纳平均法等方法进行比较,该方法能更好地滤除同场景多幅图像中的斑纹噪声。
A method for reducing speckle noise in multiple copy images within identical scenario based on independent component analysis is proposed. It is supposed that the original image and noise are mutually independent in multiple copy images within identical scenario. The independent component analysis is used to de compose the multiple copy images so as to separate the original image signal from noisy images. Experimental results show the effectiveness of the proposed method.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2009年第5期1051-1054,共4页
Systems Engineering and Electronics
关键词
独立分量分析
斑纹噪声
同场景多幅图像
independent component analysis
speckle noise
multiple copy images
