Collection of commonly used data sets for image fusion

Collection of commonly used data sets for image fusion

First, attach the mind map drawn when organizing commonly used data sets.

This blog mainly organizes commonly used data sets for image fusion

The image fusion blog series also includes:

1. For the most comprehensive collection of image fusion papers and codes, see: The most comprehensive collection of image fusion papers and codes
2. For the collection of image fusion review papers, see: Collection of image fusion review papers
3. For image fusion evaluation indicators, see: Infrared and visible light image fusion evaluation indicators
4. For the organization of commonly used data sets for image fusion, see: Organization of commonly used data sets for image fusion.
5. General image fusion framework papers and code arrangement see: General image fusion framework papers and code arrangement
6. Infrared and visible light image fusion papers and code collection based on deep learning see: Infrared and visible light image fusion papers and code collection based on deep learning
7. For more detailed infrared and visible light image fusion codes, see: Infrared and visible light image fusion papers and code collection
8. Multi-exposure image fusion papers and code compilation based on deep learning see: Multi-exposure image fusion papers and code compilation based on deep learning
9. Multi-focus image fusion papers and code collection based on deep learning see: Multi-focus Image Fusion papers and code collection based on deep learning
10. Pan-color image sharpening papers and codes based on deep learning, see: Pan-color image sharpening papers and codes based on deep learning (Pansharpening)
11. For medical image fusion papers and code compilation based on deep learning, see: Medical image fusion papers and code compilation based on deep learning
12. For color image fusion, see: Color Image Fusion
13. SeAFusion: The first image fusion framework that combines high-level vision tasks. See: SeAFusion: The first image fusion framework that combines high-level vision tasks.

1. Infrared and visible light image fusion data set

1. TNO：https://figshare.com/articles/dataset/TNO_Image_Fusion_Dataset/1008029

2. INO: https://www.ino.ca/en/technologies/video-analytics-dataset/videos/

3. RoadScene: https://github.com/hanna-xu/RoadScene

4. MSRS: https://github.com/Linfeng-Tang/MSRS

5. LLVIP: https://bupt-ai-cz.github.io/LLVIP/

6. M3FD: https://github.com/JinyuanLiu-CV/TarDAL

2. Medical image fusion data set

1. Harvard: http://www.med.harvard.edu/AANLIB/home.html

3. Multi-exposure image fusion

1. MEF: https://github.com/csjcai/SICE

2. MEFB: https://github.com/xingchenzhang/MEFB

4. Multi-focus image fusion

1. Lytro: https://mansournejati.ece.iut.ac.ir/content/lytro-multi-focus-dataset

2. MFI-WHU: https://github.com/HaoZhang1018/MFI-WHU

3. MFFW: https://www.semanticscholar.org/paper/MFFW%3A-A-new-dataset-for-multi-focus-image-fusion-Xu-Wei/4c0658f338849284ee4251a69b3c323908e62b45

5. Remote sensing image fusion

1. GaoFen: https://directory.eoportal.org/web/eoportal/satellite-missions/g

2. WorldView: https://worldview.earthdata.nasa.gov/

3. GeoEye: https://earth.esa.int/eogateway/missions/geoeye-1

4. QuickBird: https://www.satimagingcorp.com/satellite-sensors/quickbird/

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