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| A Novel Image Fusion Method Via Ratio Weighted and Condition Weighted Based on Shearlet Transform |
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Abstract In this paper, a new image fusion method is proposed based on the
shearlet transform. The new image is reconstructed by image fusion,
which provides richer visual information than the original images.
The image could be decomposed by shearlet transform in any scale and
any direction, and the detail information can be caught easily. The
multi-scale and multiple directions decomposition coefficients are
obtained through shearlet transformation. The fusion results are
analyzed and compared with the measurement of human visual system
and objective evaluation. The experiment result show the advantages
of the new fusion method compare to other classical fusion
algorithm. The simulation result of the multimodal images are
adopted to demonstrate that the algorithm based on shearlet
transform is able to obtain fused images of higher clarity and
complementary information compared with any other methods.
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| Cite this article: |
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Weibin Chen,Lai Zhou,Xin Zhang, et al. A Novel Image Fusion Method Via Ratio Weighted and Condition Weighted Based on Shearlet Transform[J]. Journal of Fiber Bioengineering and Informatics, 2015, 8(3): 625-633.
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2015, Vol. 8 
