1 July 2005 Image fusion based on an expectation maximization algorithm
Author Affiliations +
Optical Engineering, 44(7), 077001 (2005). doi:10.1117/1.1949427
Abstract
A novel image fusion method based on an expectation maximization (EM) algorithm and the discrete wavelet frame (DWF) transform is proposed. The registered images are first decomposed using the DWF transform, which is both aliasing-free and translation-invariant. The DWF decomposes the image signal into a multiresolution representation with both low-frequency coarse information and high-frequency detail information. The EM algorithm is used to fuse the low-frequency coarse information of the registered images. The informative importance measure is applied to fuse the high-frequency detail information of the registered images. The final fused image is obtained by taking the inverse transform of the composite multiresolution representations. Simulation results show that the proposed method outperforms the conventional image fusion methods.
Gang Jun Liu, Zhongliang Jing, Shaoyuan Sun, "Image fusion based on an expectation maximization algorithm," Optical Engineering 44(7), 077001 (1 July 2005). http://dx.doi.org/10.1117/1.1949427
JOURNAL ARTICLE
11 PAGES


SHARE
KEYWORDS
Image fusion

Expectation maximization algorithms

Wavelets

Image processing

Discrete wavelet transforms

Visualization

Optical engineering

Back to Top