In this paper, a novel image fusion method based on the expectation maximization (EM) algorithm and steerable pyramid is proposed. The registered images are first decomposed by 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 transform on the composite coefficient representations. Experimental results show that the proposed method outperforms conventional image fusion methods.
© 2005 Chinese Optics Letters
(070.6110) Fourier optics and signal processing : Spatial filtering
(100.2960) Image processing : Image analysis
(100.7410) Image processing : Wavelets
(110.3000) Imaging systems : Image quality assessment
Gang Liu, Zhongliang Jing, Shaoyuan Sun, Jianxun Li, Zhenhua Li, and Henry Leung, "Image fusion based on expectation maximization algorithm and steerable pyramid," Chin. Opt. Lett. 2, 386-389 (2004)