Image Fusion Algorithm Based on Contourlet Transform

Yu Kun Zhang; Shu He; Yong Jun Cheng

doi:10.4028/www.scientific.net/AMR.1044-1045.1173

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1044-1045Image Fusion Algorithm Based on Contourlet...

Image Fusion Algorithm Based on Contourlet Transform

Abstract:

Contourlet transform is a new multi-scale, multi-resolution analysis tool. This paper studied on the theory of Contourlet transform.,According to the practical application requirements of characteristics of data, much details in complex images it propose a novel image fusion method of remote sensing images based on contourlet Coefficients correlativity of directional region. Besides improving fused images spatial resolution, our method can better preserve original multi-spectral image’s color information.Extensive experimental results show that the proposed method is superior to conventional methods in terms of entropy, joint entropy, and average gradient. It can enhance the spatial resolution of target images. Meanwhile, it well preserves the color information of multi-spectral images.

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Periodical:

Advanced Materials Research (Volumes 1044-1045)

Pages:

1173-1177

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.1173

Citation:

Cite this paper

Online since:

October 2014

Authors:

Yu Kun Zhang*, Shu He, Yong Jun Cheng

Keywords:

Contourlet Transform, Correlativity, Fusion Operator, Image Fusion

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* - Corresponding Author

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