Fusion of SAR Image Using Stationary Contourlet Transform

Kui Fu; De Xiang Zhang; Qing Yan; Jing Jing Zhang

doi:10.4028/www.scientific.net/AMM.462-463.373

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 462-463Fusion of SAR Image Using Stationary Contourlet...

Fusion of SAR Image Using Stationary Contourlet Transform

Abstract:

The stationary contourlet transform is built upon nonsubsampled pyramids and nonsubsampled directional filter banks and provides a shift invariant directional multiresolution image representation. Firstly, several SAR images can be decomposed into low-frequency coefficients and high-frequency coefficients with multi-scales and multi-directions using the stationary contourlet transform. For the low-frequency coefficients, the average fusion method is used. For the each directional high frequency sub-band coefficients, the larger value of horizontal and vertical direction gradient information measurement is used to select the better coefficients for fusion. At last the fused image can be obtained by utilizing inverse transform for fused contourlet coefficients. Experimental results show that the proposed algorithm gives more satisfactory results than the traditional image fusion algorithms in preserving the edges and texture information.

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Periodical:

Applied Mechanics and Materials (Volumes 462-463)

Pages:

373-377

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.462-463.373

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Online since:

November 2013

Authors:

Kui Fu, De Xiang Zhang*, Qing Yan, Jing Jing Zhang

Keywords:

Gradient Value, Image Fusion, SAR Image, Stationary Contourlet Transform

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* - Corresponding Author

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