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Journal of Electronic Imaging

Region-based image fusion method using bidimensional empirical mode decomposition
Author(s): Youzhi Zheng; Zheng Qin
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Paper Abstract

We propose a novel multiscale decomposition (MSD) image fusion algorithm, which is region-based image fusion using bidimensional empirical mode decomposition (BEMD). BEMD is a 2-D data-driven decomposition derived from the empirical mode decomposition (EMD), which does not require predetermined filter or wavelet function. The input images are decomposed into a number of intrinsic mode functions (IMFs) as well as a residual image. The fusion is performed region by region based on the segmentations of the input images to produce composite BEMD representation, and then the inverse BEMD transform is applied to obtain the fused image. Experiments show that the proposed image fusion algorithm provides superior performance over traditional fusion schemes in terms of both objective metrics and visual quality.

Paper Details

Date Published: 1 January 2009
PDF: 10 pages
J. Electron. Imaging. 18(1) 013008 doi: 10.1117/1.3099703
Published in: Journal of Electronic Imaging Volume 18, Issue 1
Show Author Affiliations
Youzhi Zheng, Tsinghua Univ. (China)
Zheng Qin, Tsinghua Univ. (China)

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