本项目实现了一种基于小波变换（多尺度变换）的红外与可见光图像融合算法。该算法通过在不同尺度上提取图像的多层次信息，有效融合红外图像的热目标信息和可见光图像的细节纹理信息，从而生成包含两种图像优势特征的融合图像。 红外图像能够在夜间或低光环境下显示目标的热信息，而可见光图像则包含丰富的纹理和细节信息。通过融合这两种模态的图像，可以获得更全面的场景信息，适用于智能监控、自动驾驶等领域。
☆27Mar 13, 2025Updated last year
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