基于滚动引导滤波的红外与可见光图像融合

为提高融合图像更加适应人类视觉感知，并解决可见光图像受光线、天气等影响而导致融合效果不佳的问题，本文提出了一种基于滚动引导滤波的可见光与红外图像融合方法。首先，利用引导滤波对可见光图像的内容进行增强，然后，利用滚动引导滤波将可见光和红外图像进行多尺度分解为小尺度层、大尺度层和基础层。在大尺度层的信息合成的过程中利用加权最小二乘法融合规则解决融合时可见光与红外图像不同特征带来的困扰，提高融合图像的视觉效果；在基础层的融合过程中采用优化的视觉显著图融合规则，减少对比度损失。最后，将大尺度层、小尺度层与基础层合并为融合后的图像。实验结果表明所给方法在提高视觉感知、细节处理、边缘保护等方面都有良好的效果。

Infrared and Visible Image Fusion Based on a Rolling Guidance Filter

The fusion image must be made more suitable for human visual perception and the problem of a poor fusion effect caused by light and weather must be solved. Therefore, this study proposes a fusion method of visible and infrared images based on a rolling guidance filter. First, guided filtering is used to enhance the content of the visible image. Then, a rolling guidance filter is used to decompose the visible and infrared images into small-scale, large-scale, and base layers. In the process of information synthesis of large-scale layers, the weighted least square fusion rule is used to solve the problem caused by different features of visible and infrared images, and to improve the visual effect of fusion images. In the process of fusion of the base layer, the optimized fusion rule of the visual saliency map is used to reduce the loss of contrast. Finally, the large-scale, small-scale, and base layers are merged into a fused image. The experimental results show that the proposed method improves the visual effect, detail processing, and edge protection.