A Steerable Filter Bank for Image Fusion

In this paper, a novel image fusion method based on steerable filter bank is proposed. The registered images are first decomposed using steerable pyramid. The EM algorithm is used to fuse the image components in the low frequency band. The selection method involving the informative importance measure is applied to those in the high frequency band. The final fused image is then computed by taking the inverse steerable filter bank transform on the composite coefficient representations. Experimental results show that the proposed method outperforms conventional image fusion methods and the proposed method have the ability to resist noise corruption.