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Proceedings Paper

A classification-based image fusion scheme using wavelet transform
Author(s): X. Y. Luo; J. Zhang; Q. H. Dai
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Paper Abstract

Image fusion is used to combine multiple images of the same scene into a comprehensive representation. However, an image fusion method does not suit all fusion requirements in practice. In this paper, we introduce an image fusion framework based on wavelet transform, which is designed to satisfy the fusion applications as much as possible. The input images are firstly decomposed into wavelet domain. While analyzing the different frequency coefficients, the principles of fusion are discussed and adaptively assigned according to the properties of subimages. Finally, the fused image can be reconstructed via wavelet inverse transform. The experimental results show that our framework can preserve most features of original images, and the algorithm has some resistance to noise.

Paper Details

Date Published: 7 June 2011
PDF: 6 pages
Proc. SPIE 8064, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2011, 80640O (7 June 2011); doi: 10.1117/12.883730
Show Author Affiliations
X. Y. Luo, BeiHang Univ. (China)
J. Zhang, BeiHang Univ. (China)
Q. H. Dai, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 8064:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2011
Jerome J. Braun, Editor(s)

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