影像融合（英语：Image Fusion）是指将不同传感器获得的同一场景图像，或者同一传感器以不同工作模式或在不同成像时间下获得的同一场景图像，运用融合技术合并成一幅综合了之前多幅影像优点、内容更为丰富的影像。影像融合技术产生于20世纪70年代末，是综合了传感器、影像处理、计算机和人工智能理论的交叉型研究领域，并由于小波转换的崛起，使影像融合在近三十年里得到了快速的发展。影像融合的应用极为广泛，从军事领域、遥测领域、医学应用领域一直到数字成像领域。在军事领域可用来获取战场情势；在遥测领域可作天气预报、灾情探勘与监测；在医学领域则是平常在医院看见的各种精密仪器，例如: 电脑断层摄影（Computed Tomography, CT）、磁共振造影（Magnetic Resonance Imaging, MRI）、正子电脑断层扫描（Position Emission Computed Tomography, PET）。而数字成像则是日常生活中人手一机的数字相机，甚至智能型手机的摄像功能。

In computer vision, Multisensor Image fusion is the process of combining relevant information from two or more images into a single image. The resulting image will be more informative than any of the input images.

In remote sensing applications,the increasing availability of space borne sensors gives a motivation for different image fusion algorithms. Several situations in image processing require high spatial and high spectral resolution in a single image. Most of the available equipment is not capable of providing such data convincingly. Image fusion techniques allow the integration of different information sources. The fused image can have complementary spatial and spectral resolution characteristics. However, the standard image fusion techniques can distort the spectral information of the multispectral data while merging.