Acta Photonica Sinica, Volume. 53, Issue 6, 0610003(2024)
Infrared and Visible Image Fusion Method via Interactive Self-attention
Fig. 2. The frameworks of Token ViT, Channel ViT and vision transformer
Fig. 3. The subjective comparison results of different fusion models
Fig. 4. The subjective comparison of “Nato_camp”, “Kaptrin_1123”and “Street” selected from the TNO dataset
Fig. 5. The objective comparison results of different methods for the TNO dataset
Fig. 6. The subjective comparison of “00443”and “03989” selected from the M3FD dataset
Fig. 7. The objective comparison results of different methods for the M3FD dataset
Fig. 8. The subjective comparison of “FILR_08910” and “FILR_06307” selected from the Roadscene dataset
Fig. 9. The objective comparison results of different methods for the Roadscene dataset
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Fan YANG, Zhishe WANG, Jing SUN, Zhaofa YU. Infrared and Visible Image Fusion Method via Interactive Self-attention[J]. Acta Photonica Sinica, 2024, 53(6): 0610003
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Received: Sep. 21, 2023
Accepted: Jan. 19, 2024
Published Online: Jul. 16, 2024
The Author Email: Zhishe WANG (wangzs@tyust.edu.cn)