An improved image fusion algorithm based on wavelet transform

Zewei Duan; Desheng Wen; Zongxi Song

doi:10.1117/12.2031878

11 September 2013 An improved image fusion algorithm based on wavelet transform

Zewei Duan, Desheng Wen, Zongxi Song

Proceedings Volume 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications; 89070Y (2013) https://doi.org/10.1117/12.2031878
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

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.

Citation Download Citation

Zewei Duan, Desheng Wen, and Zongxi Song "An improved image fusion algorithm based on wavelet transform", Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89070Y (11 September 2013); https://doi.org/10.1117/12.2031878

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