⼀、论⽂中常⽤的⽹址：
（论⽂中经常引⽤，但是⽬前打不开）
1、
2、Lytro Multi-focus Dataset（常⽤，彩⾊多聚焦图像）
“ This dataset contains 20 pairs of color multi-focus images of size 520×520 pixels and four series of multi-focus images with three sources.
Please cite the following paper if you use this dataset:
快递系统M. Nejati, S. Samavi, and S. Shirani, "Multi-focus Image Fusion Using Dictionary-Based Sparse Representation", Information Fusion, vol. 25, Sept. 2015, pp. 72-84.
⽹址：医用呼叫器
3、Paper：Slavica Savic, "Multifocus Image Fusion Based on Empirical Mode Decomposition", Twentieth International Electrotechnical and Computer Science Conference, ERK 2011.
⽹站内提供27对多聚焦图像。
⽹址：
预应力电杆4、“The dataset which includes 150 different images is created to use in Multi-focus Image Fusion algorithms. This
dataset is different from other datasets in this area. The new dataset includes more than two images to fuse. And this propoerty is very important for this dataset.The dataset is prepared by Samet Aymaz.”（包含150张图像，21.3M）
5、
该⽹页也提供了⼀些多聚焦图像素材。
三、红外与可见光图像
1、Toet A. TNO Image fusion dataset. (117.03 MB)——图像序列
⽹址：
（内容很丰富，常⽤的图像都是从该库⾥挑出来的。论⽂中也常引⽤该⽹址。）
简介：
"The TNO Image Fusion Dataset contains multispectral (intensified visual, near-infrared, and longwave infrared or thermal) nighttime imagery of different military relevant scenerios, registered with different multiband camnera systems."
旋转喷嘴2、OTCBVS Benchmark Dataset Collection
⽹址：
⽹站内的简介：
" This is a publicly available benchmark dataset for testing and evaluating novel and state-of-the-art computer vision algorithms. Several researchers and students have requested a benchmark of non-visible (e.g., infrared) images and videos. The benchmark contains videos and images recorded in and beyond the visible spectrum and is available for free to all researchers in the international comp
uter vision communities. Also it will allow a large spectrum of IEEE and SPIE vision conference and workshop participants to explore the benefits of the non-visible spectrum in real-world applications, contribute to the OTCBVS workshop series, and boost this research field significantly. This effort was initiated by Dr. Riad I. Hammoud in 2004. It was hosted at Ohio State University and managed by Dr. James W. David until 2013. It is currently managed by Dr. Guoliang Fan at Oklahoma State University.
This benchmark is to be used for educational and research purposes only, and this benchmark must be acknowledged by the users.
三方通话其中通常使⽤第三个数据集——Dataset 03: OSU Color-Thermal Database
引⽤：IEEE OTCBVS WS Series Bench; J. Davis and V. Sharma, "Background-Subtraction using Contour-based Fusion of Thermal and Visible Imagery," Computer Vision and Image Understanding, Vol 106, No. 2-3, 2007, pp. 162-182.
3、DATA SET 3: Bristol Eden Project Multi-Sensor Data Set
4、Visible-Infrared Database
5、
6、RGB-NIR Scene Dataset（⼤约1GB）（EPFL 2015 EPFL database）
⽹址：
⽹站内的简介：
“This dataset consists of 477 images in 9 categories captured in RGB and Near-infrared (NIR). The images were captured using separate exposures from modified SLR cameras, using visible and NIR filters. For more info on NIR photography, see the references below. The scene categories are: country, field, forest, indoor, mountain, oldbuilding, street, urban, water.”
水泥砖制砖机
四、医学图像：
五、真彩⾊图像
最后：
提供了各种融合图像数据集（下⾯的⽹址），包含医学图像，多聚焦图像，多模态图像，多曝光图像，遥感图像。（该库⾥的图像与前⾯的链接⾥的图像会有重复）
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