Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity
Wuhan University · Huazhong University of Science and Technology · +1 more institution
Abstract
In this paper, we propose a fast unified image fusion network based on proportional maintenance of gradient and intensity (PMGI), which can end-to-end realize a variety of image fusion tasks, including infrared and visible image fusion, multi-exposure image fusion, medical image fusion, multi-focus image fusion and pan-sharpening. We unify the image fusion problem into the texture and intensity proportional maintenance problem of the source images. On the one hand, the network is divided into gradient path and intensity path for information extraction. We perform feature reuse in the same path to avoid loss of information due to convolution. At the same time, we introduce the pathwise transfer block to…
Citation impact
- FWCI
- 122.65
- Percentile
- 100%
- References
- 39
Authors
5Topics & keywords
- Image fusion
- Computer science
- Artificial intelligence
- Fusion
- Image (mathematics)
- Image gradient
- Computer vision
- Sharpening