Fast mutual modulation fusion for multi-sensor images

Multiresolution analysis based image fusion methods have become a hot research area. However, these methods may not suitable for the real-time applications due to their complex and time-consuming analysis process. Therefore, a fast mutual modulation fusion (FMMF) algorithm for multi-sensor images is proposed. First, two source images are magnified by factors that derive from the ratio of the corresponding pixel energy respectively; then an offset term obtained by computing statistical parameters of source images is added; finally, the fused image is obtained by multiplying the previous results. The proposed method concerns only addition and multiplication, and thus is effective. ‘Experiments’ shows that FMMF algorithm has superior performance and efficiency, compared with some algorithms based on multiresolution analysis.