YDTR: Infrared and Visible Image Fusion via Y-Shape Dynamic Transformer

Infrared and visible image fusion is aims to generate a composite image that can simultaneously describe the salient target in the infrared image and texture details in the visible image of the same scene. Since deep learning (DL) exhibits great feature extraction ability in computer vision tasks, it has also been widely employed in handling infrared and visible image fusion issue. However, the existing DL-based methods generally extract complementary information from source images through convolutional operations, which results in limited preservation of global features. To this end, we propose a novel infrared and visible image fusion method, i.e., the Y-shape dynamic Transformer (YDTR). Specifically, a…

• NN
  National Natural Science Foundation of China

  Awards: 62176081, 62072348
• NK
  National Key Research and Development Program of China

  Award: 2018AAA0101104