摘要
针对传统NSCT图像融合算法考虑方向的信息完成的缺点,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频子带和低频子带,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。
To take account of the shortcomings of the direction of the completion about the traditional NSCT image fusion algorithm,a new NSCT image of fusion algorithm is proposed. The algorithm based on the direction of the area, can be obtained by the decomposition of the source image in all directions of the High-frequency sub-band and low-frequency sub-band, high and low frequency coefficients according to the characteristics of the different decomposition level direction. According to the direction images can be obtained again by its back transformation. image detail while still retaining a good edge and many of regional energy integration, and the final integration This algorithm reflects the characteristics of the source other useful information. The test results show that this method fuses with the traditional NSCT image fusion algorithm each other better.
出处
《电子器件》
CAS
北大核心
2013年第6期846-848,共3页
Chinese Journal of Electron Devices
