Compilation of image fusion review papers
This blog mainly compiles review papers in the field of image fusion
The image fusion blog series also includes:
- For the most comprehensive collection of image fusion papers and codes, see: The most comprehensive collection of image fusion papers and codes
- For the collection of image fusion review papers, see: Collection of image fusion review papers
- For image fusion evaluation indicators, see: Infrared and visible light image fusion evaluation indicators
- For the organization of commonly used data sets for image fusion, see: Organization of commonly used data sets for image fusion.
- General image fusion framework papers and code arrangement see: General image fusion framework papers and code arrangement
- 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
- For more detailed infrared and visible light image fusion codes, see: Infrared and visible light image fusion papers and code collection
- 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
- 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
- Pan-color image sharpening papers and codes based on deep learning, see: Pan-color image sharpening papers and codes based on deep learning (Pansharpening)
- For medical image fusion papers and code compilation based on deep learning, see: Medical image fusion papers and code compilation based on deep learning
- For color image fusion, see: Color Image Fusion
- 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.
- DIVFusion: The first framework for coupling mutually promoting low-light enhancement & image fusion. See: DIVFusion: The first framework for coupling mutually promoting low-light enhancement & image fusion.
1. Overview of image fusion methods based on deep learning [Journal of Tutu 2023] [ Paper ] [ code ]
2. Pixel-level image fusion: A survey of the state of the art [IF 2017] [Paper]
3. Deep learning for pixel-level image fusion: Recent advances and future prospects [IF 2018] [Paper]
4. Image fusion meets deep learning: A survey and perspective [IF 2021] [Paper]
5. Infrared and visible image fusion methods and applications: A survey [IF 2019] [Paper]
6. Multi-focus image fusion: A Survey of the state of the art [IF 2020] [Paper]
7. Deep Learning-based Multi-focus Image Fusion: A Survey and A Comparative Study [TPAMI 2021] [Paper] [Code]
8. Benchmarking and comparing multi-exposure image fusion algorithms [IF 2021] [Paper] [Code]
9. A review of remote sensing image fusion methods [IF 2016] [Paper]
10. Current advances and future perspectives of image fusion: A comprehensive review [IF 2023] [Paper]
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