Image Fusion Using Wavelet Transform and Fuzzy Reasoning

Xue Wen Ding; Berthold Mahundi; Fei Yang; Guang Quan Xu

doi:10.4028/www.scientific.net/AMM.239-240.1336

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 239-240Image Fusion Using Wavelet Transform and Fuzzy...

Image Fusion Using Wavelet Transform and Fuzzy Reasoning

Abstract:

The image fusion algorithm discussed in this paper which utilizes wavelet decomposition and fuzzy reasoning combines images from diverse imaging sensors into a single composite image. It first decomposed source images through wavelet transform, computed the extent of each source image’s contribution through fuzzy reasoning using the area feature of source images, and then fused the coefficients through weighted averaging with the extents of each source images’ contributions as the weight coefficients. Experimental results indicate the final composite image may have more complete information content or better perceptual quality than any one of the source images.

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Periodical:

Applied Mechanics and Materials (Volumes 239-240)

Pages:

1336-1339

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.239-240.1336

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Online since:

December 2012

Authors:

Xue Wen Ding, Berthold Mahundi, Fei Yang, Guang Quan Xu

Keywords:

Fuzzy Reasoning, Image Fusion, Imaging Sensor, Wavelet Transform (WT)

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References

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