一种基于小波变换的多尺度图像融合方法

近年来图像的数据融合技术在图像处理领域中得到了广泛的重视和应用。如何对同一目标的多源遥感图像数据进行有效的融合，最大限度地利用多源遥感数据中的有用信息，提高系统的正确识别、判断和决策能力，是遥感数据融合研究的重要内容之一。在小波变换金字塔结构的基础上，提出了一种基于小波变换的多尺度图像融合方法，对热红外与可见光图像进行了融合处理。实验结果表明，该融合方法十分有效，获得的融合图像更符合人们的视觉特性，更有利于机器视觉。

Multiscale image fusion algorithm based on wavelet transform

Image data fusion technique has played an important role in image processing recently. How to make efficient data fusion for multi-source remote sensing image of the same object, make the best of the useful information and improve the system's ability of correct recognition, judgement and decision is an important aspect of data fusion research. A multiscale image fusion algorithrn Based on wavelet transform pyramid structure is presented to fuse the infrared and visible light images. The experimental results show that the fusion method is effctive and the fusioned images are more suitable for human visual or machine perception.