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Proceedings Paper

Two-dimensional empirical mode decomposition for the fusion of multispectral and panchromatic images
Author(s): Tee-Ann Teo; Chi-Chung Lau; Liang-Chien Chen
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Paper Abstract

Image fusion is an important technique to integrate high resolution panchromatic image and low resolution multispectral image. The fused image enhances the capability for image interpretation. EMD (Empirical Mode Decomposition) is an effective method to decompose the linear or nonlinear signals into a set of IMFs (Intrinsic Mode Functions). The characteristics of EMD may apply to image fusion technique. The objective of this investigation is to establish a novel image fusion method using a 2-D EMD. The idea of image fusion based on EMD is to decompose the panchromatic and multispectral images into their IMFs. Then, we replace the high frequency IMF of multispectral image by high frequency IMF of panchromatic image. Finally, the image fusion is performed by reconstructing the mixed IMFs. The experimental results indicate that the proposed method may produce a fused image that preserves spatial and spectral information.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74940T (30 October 2009); doi: 10.1117/12.832541
Show Author Affiliations
Tee-Ann Teo, National Central Univ. (Taiwan)
Chi-Chung Lau, Industrial Technology Research Institute (Taiwan)
Liang-Chien Chen, National Central Univ. (Taiwan)

Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

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