Infrared and visible image fusion based on iterative differential thermal information filter

We propose an infrared and visible image fusion method based on an iterative differential thermal information filter to generate a fusion image with the salient thermal targets of the infrared image and detailed information of the visible image. Firstly, we enhance thermal information of infrared images using a dynamic threshold thermal information filter. Then, we use the multiple difference rolling guidance filter feature fusion method to separate and enhance the detailed information of the visible image. Finally, we gain the fusion image by a weighted-averaging strategy. The advantages and effectiveness of the proposed method are experimentally demonstrated by qualitatively and quantitatively comparing with the deep learning and non deep learning-based methods.

Automated summary

The proposed method utilizes an iterative differential thermal information filter to fuse infrared and visible images, resulting in a fusion image with prominent thermal targets from the infrared image and detailed information from the visible image. Experimental results demonstrate the advantages and effectiveness of the method compared to deep learning and non deep learning-based methods.