一种基于小波变换的多尺度多算子图像融合方法

图像融合技术以其综合多传感器信息的优越性日益受到诸多领域的重视。为了使其应用在医学、遥感、计算机视觉、气象预报、军事目标识别等方面更迅速、深入地开展，有效、实用的融合算法是至关重要的。本文在小波变换金字塔结构的基础上，提出了一种多尺度多算子融合方法，对热红外图像和可见光图像的融合进行了研究。结果融合效果很好，目标和背景区别显著，而且边缘不突兀。由于这种方法对小波分解的层数要求不高，因此计算量不大，便于并行处理及硬件实时化实现，具有广阔的应用前景。

One multiscale and multioperator image fusion algorithm based on wavelet trans form

Image fusion technique has gradually been paid more and more attention to for its advantage of integration of information from multisensors, and its application has been developed in many fields such as medicine, remote sensing, computer vision, weather forecast, military object recognition, etc. Therefore, effective and factual algorithm of image fusion is essential in this field. In this paper, one storied and scale down image fusion algorithms on wavelet transform have been presented and the result is so effective that we can see clearly an object hidden in the jungle. The algorithm only need such few levels on wavelet transform that it has wide prospect in parallel processing and real time realization.