关键词: 红外与可见光图像融合, 数据集, 融合算法, 评价指标, 融合基准

Abstract:  Infrared and visible image fusion is an important area in the computer vision field due to its numerous applications. In recent years, much progress has been made for developing image fusion algorithms. However, there is a lack of code library and benchmark that can be used to evaluate the state-of-the-art methods. In this paper, after briefly revisiting the recent advances of the infrared and visible image fusion methods, an extended VIFB for infrared and visible image fusion is proposed, which includes 56 image pairs, a code library of 32 fusion algorithms and 16 evaluation metrics. Extensive experiments are conducted on the benchmark to evaluate the performance of these fusion algorithms. Besides, fusion results are analyzed qualitatively and quantitatively to identify the image fusion algorithms with excellent performance. Finally, the future prospects of infrared and visible image fusion field are prospected.

Key words: infrared and visible image fusion, dataset, fusion algorithm, evaluation metric, fusion benchmark