Multi-focused image fusion algorithm based on multi-scale hybrid attention residual network
Tingting Liu,
Mingju Chen,
Zhengxu Duan
et al.
Abstract:In order to improve the detection performance of image fusion in focus areas and realize end-to-end decision diagram optimization, we design a multi-focus image fusion network based on deep learning. The network is trained using unsupervised learning and a multi-scale hybrid attention residual network model is introduced to enable solving for features at different levels of the image. In the training stage, multi-scale features are extracted from two source images with different focal points using hybrid multi… Show more
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