Current research on wavelet-based image fusion algorithms

Huihui Li; Lei Guo; Hang Liu

doi:10.1117/12.602659

Current research on wavelet-based image fusion algorithms

Huihui Li, Lei Guo, Hang Liu

School of Automation

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Conference article › peer-review

6 Scopus citations

Abstract

Wavelet transform is efficiently applied to the area of image fusion because it's properties such as multiresolution analysis, accurate reconstruction and similarity to people's vision understanding. On the basis of reviewing the former research, the fusion results may be better than those with previous common fusion algorithms in many applications. This paper describes the principle and method of wavelet-based image fusion and analyzes it's current research and future trend from the two respects: the modality of wavelet transform and fusion rules.

Original language	English
Article number	41
Pages (from-to)	360-367
Number of pages	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5813
DOIs	https://doi.org/10.1117/12.602659
State	Published - 2005
Event	Multisensor, Multisource Information Fusion: Architecture, Algorithms, and Applications 2005 - Orlando, FL, United States Duration: 30 Mar 2005 → 31 Mar 2005

Keywords

Image fusion
Multi-band wavelet
Wavelet package
Wavelet transform

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10.1117/12.602659

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AU - Guo, Lei

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KW - Multi-band wavelet

KW - Wavelet package

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Y2 - 30 March 2005 through 31 March 2005

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Current research on wavelet-based image fusion algorithms

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Keywords

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