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

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationMIPPR 2009 - Multispectral Image Acquisition and Processing
DOIs
StatePublished - 11 Dec 2009
EventMIPPR 2009 - Multispectral Image Acquisition and Processing: 6th International Symposium on Multispectral Image Processing and Pattern Recognition - Yichang, China
Duration: 30 Oct 20091 Nov 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7494
ISSN (Print)0277-786X

Conference

ConferenceMIPPR 2009 - Multispectral Image Acquisition and Processing: 6th International Symposium on Multispectral Image Processing and Pattern Recognition
CountryChina
CityYichang
Period30/10/091/11/09

Keywords

  • Empirical mode decomposition
  • Image fusion
  • Image processing
  • Multi-resolution techniques

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