@inproceedings{3a682996a9784cd6bb8cc787613597f1,
title = "INFRARED AND VISIBLE IMAGE FUSION USING BIMODAL TRANSFORMERS",
abstract = "We propose an infrared and visible image fusion algorithm using bimodal transformers. First, the proposed algorithm extracts multiscale features of the input infrared and visible images. Then, we develop the bimodal transformers that refine the extracted features by estimating their irrelevance maps to exploit the complementary information of the source images. Finally, we develop a reconstruction block that generates the fusion result by merging the refined features in the frequency domain to exploit the global information of the source images. Experimental results show that the proposed algorithm outperforms state-of-the-art infrared and visible image fusion algorithms on several datasets.",
keywords = "multiscale network, transformer, Visible and infrared image fusion",
author = "Seonghyun Park and Vien, {An Gia} and Chul Lee",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 29th IEEE International Conference on Image Processing, ICIP 2022 ; Conference date: 16-10-2022 Through 19-10-2022",
year = "2022",
doi = "10.1109/ICIP46576.2022.9897993",
language = "English",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "1741--1745",
booktitle = "2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings",
address = "United States",
}