多传感器图像互调制快速融合

A Fast Multi-sensor Image Mutual Modulation Fusion Algorithm

基于多分辨率分析的图像融合是当前主流技术,然而因其包含分解和重构变换,导致算法复杂性高,难以满足图像序列融合的实时性要求。针对此问题,提出了一种多传感器图像互调制快速融合(FMMF)算法。首先对两幅源图像分别用基于对应像素能量比值所确定的系数进行放大,然后分别加上由图像统计参数得到的偏移项,最后将两部分相乘并规范化即得到融合图像。实验结果表明,算法结合了加法和乘法调制的优点,简单快速,实时性好,是一种非线性的互调制融合过程,其融合效果和效率优于小波融合、金字塔融合等算法。

At present,multi-resolution analysis has become a popular method in pixel-level image fusion.However,those algorithms based on multi-resolution analysis with decomposition and reconstruction transform process is too complex and not suitable for real-time image sequence fusion.In order to meet the requirements of real-time fusion system,a novel Fast Mutual Modulation Fusion （FMMF） algorithm for multi-sensor images is proposed.First,the two source images were magnified by factors that were derived from the ratio of the corresponding pixel energy respectively.Then,an offset entry obtained by computing statistical parameters of source images is added to it.Finally,after the previous results are multiplied and normalized,the fused image is obtained.Fusion process consists of the addition and multiplication,which is a nonlinear combination process.Experimental results show that FMMF algorithm is simple and fast and its performance and efficiency are superior to those based on pyramid and wavelet.