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Optical Engineering

Image fusion based on an expectation maximization algorithm
Author(s): Gang Jun Liu; Zhongliang Jing; Shaoyuan Sun
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Paper 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.

Paper Details

Date Published: 1 July 2005
PDF: 11 pages
Opt. Eng. 44(7) 077001 doi: 10.1117/1.1949427
Published in: Optical Engineering Volume 44, Issue 7
Show Author Affiliations
Gang Jun Liu, Shanghai Jiao Tong Univ. (China)
Zhongliang Jing, Shanghai Jiaotong Univ. (China)
Shaoyuan Sun, Shanghai Jiao Tong Univ. (China)

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