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Multispectral image stitching based on diffusion model
DOI:10.1016/j.image.2026.117752.png)
Abstract
En 中文
• Unified diffusion-based stitching framework – improves SSIM by 8.5% and EN by 6.2% over cascade methods.
• Mask-guided dual-modal independent alignment – reduces misalignment by 18% and artifacts by 23%.
• Gradient-intensity joint loss with multi-channel fusion – boosts AG by 12.7% and PSNR by 1.2 dB.
• Validated robustness and superiority – ranks first in 5/6 metrics, 15% higher success rate in cross-scene tests.
Keywords:
Diffusion models
Infrared-visible image stitching
Multi-modal fusion
Geometric alignment
Panoramic perception
Journal
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IF:
2.7
Papers:
154
Citations:
0
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