基于改进非线性加权的图像融合算法

为了改善图像融合的质量和效率，提出了一种非线性加权的图像融合算法。首先计算图像的非线性加权值，并采用金字塔高斯对图像进行平滑处理，然后对原图和平滑后图像融合，得到图像融合结果，最后采用仿真实验对算法性能进行测试。实验结果表明，该算法使图像融合过渡效果更加自然，提高了融合速率，可以满足图像处理系统实时性的需求，获得了比传统算法更加理想的图像融合效果。

Image fusion algorithm based on improved nonlinear weight

In order to improve the quality and efficiency of image fusion, this paper proposes an image fusion algorithm based on improved nonlinear weight. Firstly, the nonlinear weighted value of the image is calculated, and the pyramid Gauss image is used to smooth image, and then the original and smoothed images are different and accumulated to achieve image fusion, finally, the simulation experiment is used to test the performance of the algorithm. The experimental results show that, the algorithm makes the image fusion transition effect is more natural, it significantly improves the fusion rate, can meet the demand of real-time image processing system, the image fusion effect compared with the traditional algorithm is more ideal.