基于NSCT的图像融合算法

Image Fusion Algorithm Based on the Nonsubsampled Contourlet Transform

在基于非下采样Contourlet变换(NSCT)上提出了一种新的图像融合算法。对经NSCT的低频子带系数采取基于区域能量自适应加权的融合规则,对高频子带系数采用一种混合的融合规则,即选用基于区域强度比的加权选择融合策略进行低层的选择,高层采用像素点的绝对值取大的方法进行选取。实验结果表明,该算法在目视判别以及客观标准下明显优于文中其他基于多尺度分析的图像融合算法,可获得较理想的融合图像。

A new image fusion algorithm is proposed based on the nonsubsampled Contourlet transform （NSCT）. After the NSCT of images, the adaptive regional energy as the regular for the low frequency subband coefficients, the high-frequency detail images in different levels are processed by different fusion rules. The absolute maximum based on detail coefficients as the regular for the high level high-frequency and the weighted regional strength ratio as the regular for the others levels high-frequency. The experimental results show that the presented algorithm obviously improves the visual quality and objective indexes.