论文标题
VIFB：可见且红外的图像融合基准
VIFB: A Visible and Infrared Image Fusion Benchmark
论文作者
论文摘要
由于其众多应用，可见和红外图像融合是图像处理中最重要的领域之一。尽管近年来随着开发融合算法的努力取得了很多进展，但缺乏代码库和基准可以评估最先进的方法。在本文中，在简要回顾了可见和红外图像融合的最新进展之后，我们提出了一个可见且红外的图像融合基准（VIFB），该基准由21个图像对，20个融合算法的代码库和13个评估指标组成。我们还在基准中进行了大规模实验，以了解这些算法的性能。通过分析定性和定量结果，我们确定了可靠图像融合的有效算法，并对该领域的状态和未来前景进行了一些观察。
Visible and infrared image fusion is one of the most important areas in image processing due to its numerous applications. While much progress has been made in recent years with efforts on developing fusion algorithms, there is a lack of code library and benchmark which can gauge the state-of-the-art. In this paper, after briefly reviewing recent advances of visible and infrared image fusion, we present a visible and infrared image fusion benchmark (VIFB) which consists of 21 image pairs, a code library of 20 fusion algorithms and 13 evaluation metrics. We also carry out large scale experiments within the benchmark to understand the performance of these algorithms. By analyzing qualitative and quantitative results, we identify effective algorithms for robust image fusion and give some observations on the status and future prospects of this field.
