Update README.md

README.md

@@ -30,3 +30,15 @@ You can modify the path in the "test_booster_only.py" file, to enhance your own
 - The proposed FusionBooster is a general enhancer, which can be applied to various image fusion methods, e.g., traditional or learning-based algorithms, irrespective of the type of fusion task.
 - In a new divide-and-conquer image fusion paradigm, the results of the analysis performed by the Information Probe guide the refinement of the fused image.
 - The proposed FusionBooster significantly enhances the performance of the SOTA fusion methods and downstream detection tasks, with only a slight increase in the computational overhead.
+
+## Citation
+If this work is helpful to you, please cite it as:
+```
+@article{cheng2023fusionbooster,
+  title={FusionBooster: A Unified Image Fusion Boosting Paradigm},
+  author={Cheng, Chunyang and Xu, Tianyang and Wu, Xiao-Jun and Li, Hui and Li, Xi and Kittler, Josef},
+  journal={arXiv preprint arXiv:2305.05970},
+  year={2023}
+}
+```
+