一种新的NSCT图像融合算法研究

针对传统NSCT图像融合算法考虑方向的信息完成的缺点，文章提出了新的NSCT 图像融合算法。该算法是基于方向区域的，通过对源图像的分解可以得到各个方向的高低频子带，根据不同分解层的方向的特性对高低频系数按方向区域能量融合，再经过反变换得到最终的融合图像。此算法在体现出各源图像细节特征的同时还很好的保留了边缘等很多有用的信息。测试结果表明，此算法和传统的NSCT图像融合算法相比，融合效果更好。

A new NSCT Image Fusion Algorithm

For traditional the NSCT image fusion algorithm takes into account the direction of the completion of the shortcomings, the paper proposes the new the NSCT image of fusion algorithm. The algorithm is based on the direction of the area can be obtained by the decomposition of the source image in all directions of the high and low frequency sub-band, high and low frequency coefficients according to the characteristics of the different decomposition level direction according to the direction of regional energy integration, and then are transformed back to the final integration images. The algorithm also well preserved at the same time reflect the source image detail features such as edge lot of useful information. The test results show that this method and a traditional NSCT image fusion algorithm, fusion better.