• Computer Science
  • Published in ArXiv 2019

Fast and Efficient Zero-Learning Image Fusion

@article{Lahoud2019FastAE,
  title={Fast and Efficient Zero-Learning Image Fusion},
  author={Fayez Lahoud and Sabine S{\"u}sstrunk},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.03590}
}
We propose a real-time image fusion method using pre-trained neural networks. Our method generates a single image containing features from multiple sources. We first decompose images into a base layer representing large scale intensity variations, and a detail layer containing small scale changes. We use visual saliency to fuse the base layers, and deep feature maps extracted from a pre-trained neural network to fuse the detail layers. We conduct ablation studies to analyze our method's… CONTINUE READING

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