Chinese Optics Letters, 2004, 2 (7): 07386, Published Online: Jun. 6, 2006
Image fusion based on expectation maximization algorithm and steerable pyramid Download: 668次
100.2960 image analysis 100.7410 wavelets 070.6110 spatial filtering 110.3000 image quality assessment
Abstract
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.
Gang Liu, Zhongliang Jing, Shaoyuan Sun, Jianxun Li, Zhenhua Li, Henry Leung. Image fusion based on expectation maximization algorithm and steerable pyramid[J]. Chinese Optics Letters, 2004, 2(7): 07386.