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Proceedings Paper

An improved image fusion algorithm based on wavelet transform
Author(s): Zewei Duan; Desheng Wen; Zongxi Song
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Paper Abstract

Image fusion takes a significant part in the technology of information enhancement. By analyzing the advantages and disadvantages of previous methods , this paper proposes an improved wavelet-transform-algorithm, which both considers the fusion methods of low-frequency and high-frequency components: On the low-frequency sub-band aspect, introducing a border detector operator in order to collect the border information of images that can be the basis of selective fusion method; On the high-frequency sub-band aspect, applying the local-standard-deviation to being the basis of selective and weighted-averaging fusion method. The experiments reveal that the proposed algorithm contributes to enhancing the definition and contract ratio of the fused images, thereby it’s a valid method.

Paper Details

Date Published: 11 September 2013
PDF: 7 pages
Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89070Y (11 September 2013); doi: 10.1117/12.2031878
Show Author Affiliations
Zewei Duan, Xi'an Institute of Optics and Precision Mechanics (China)
Univ. of Chinese Academy of Sciences (China)
Desheng Wen, Xi'an Institute of Optics and Precision Mechanics (China)
Zongxi Song, Xi'an Institute of Optics and Precision Mechanics (China)


Published in SPIE Proceedings Vol. 8907:
International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications
Haimei Gong; Zelin Shi; Qian Chen; Jin Lu, Editor(s)

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