JCa2Co: A joint cascade convolution coding network based on fuzzy regional characteristics for infrared and visible image fusion
Abstract To facilitate the extraction of source image information, and preserve the consistency of heterogeneous regional features, a multiscale image fusion method based on a joint cascaded convolutional coding network (JCa2Co) is proposed. The JCa2Co network can retain vast quantities of informati...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-10-01
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| Series: | IET Computer Vision |
| Online Access: | https://doi.org/10.1049/cvi2.12046 |