A Novel Image Fusion Based on Nonsubsampled Contourlet Transform

Xiu Ming Sun; Zhi Min Wang; Peng Geng

doi:10.4028/www.scientific.net/AMR.774-776.1528

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 774-776A Novel Image Fusion Based on Nonsubsampled...

A Novel Image Fusion Based on Nonsubsampled Contourlet Transform

Abstract:

The nonsubsampled contourlet transform (NSCT) is not only with multi-scale and localization, but also with multi-direction, anisotropy and shift-invariance. A novel image fusion algorithm based on the NSCT is proposed in this paper, aiming at solving the fusion problem of images. Experimental results demonstrate that the proposed algorithm cannot only extract more important visual information from source images, but also effectively avoid the introduction of artificial information. It outperforms the traditional discrete wavelet transform-based and the Contourlet-based image fusion methods in terms of both visual performance and objective evaluation.

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Periodical:

Advanced Materials Research (Volumes 774-776)

Pages:

1528-1531

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.774-776.1528

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Online since:

September 2013

Authors:

Xiu Ming Sun, Zhi Min Wang, Peng Geng

Keywords:

Image Fusion, NSCT, SML

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References

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