Two-dimensional empirical mode decomposition for the fusion of multispectral and panchromatic images

Tee-Ann Teo; Chi-Chung Lau; Liang-Chien Chen

doi:10.1117/12.832541

30 October 2009 Two-dimensional empirical mode decomposition for the fusion of multispectral and panchromatic images

Tee-Ann Teo, Chi-Chung Lau, Liang-Chien Chen

Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 74940T (2009) https://doi.org/10.1117/12.832541
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Tee-Ann Teo, Chi-Chung Lau, and Liang-Chien Chen "Two-dimensional empirical mode decomposition for the fusion of multispectral and panchromatic images", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74940T (30 October 2009); https://doi.org/10.1117/12.832541

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