摘要
文章在综合分析小波分解变换图像融合方法的基础上,提出了一种采用基于区域的融合规则的小波分解法,该方法利用小波分解将原始图像分解为低频部分和高频部分,对于低频部分,采用了加权系数,对于高频部分不同的方向分量,根据局部能量,采用不同的融合规则。利用可见光图像与红外图像和高低分辨率图像进行了仿真实验,得出实验结果,运用客观评价指标验证了该方法的可行性。实验表明,该法具有比基于像素点的小波变换融合方法具有更好的融合效果。
Based on a comprehensive analysis of image fusion method of wavelet decomposition transform,this paper proposes region-based fusion rules of the wavelet decomposition,in which the original image is decomposed into low frequency part and high frequency part by using wavelet decomposition.For the low-frequency part,weighting coefficients is adopted,for the high-frequency part and different direction of the component,different fusion rule is used based on local energy.The experimental results are obtained from the emulation by using visible light images,infrared images and low resolution images.The feasibility of the method is verified by using an objective evaluation index.The experiments show that this method is more effective than that of pixel-based wavelet transform.
出处
《计算机与数字工程》
2010年第7期143-146,共4页
Computer & Digital Engineering
关键词
小波分解变换
图像融合
融合规则
局域能量
wavelet decomposition transform
image fusion
fusion rules
local energy
