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Abstract
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Article Information:
Multifocus Image Fusion with PCNN in Shearlet Domain
Peng Geng, Xiang Zheng, Zhigang Zhang, Yujing Shi and Shiqiang Yan
Corresponding Author: Peng Geng
Submitted: October 23, 2011
Accepted: December 27, 2011
Published: August 01, 2012 |
Abstract:
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The Shearlet form a tight frame at various scales and directions and are optimally sparse in
representing images with edges. In this study, an image fusion method is proposed based on the Shearlet
transform. Firstly, transform the image A and image B by the Shearlet transform. Secondly, PCNN is used for
the every frequency subbands, which uses the number of output pulses from the PCNN’s neurons to select
fusion coefficients. Finally an inverse Shearlet is applied on the new fused coefficients to reconstruct the fused
image. Some experiments are performed, comparing the new algorithm with the DWT, Contourlet and NSCT
method based on the PCNN. The experiment results show that the proposed fusion rule is effective and the new
algorithm can provide better performance in fusing images.
Key words: PCNN, shearlet transform, NSCT, , , ,
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Abstract
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Cite this Reference:
Peng Geng, Xiang Zheng, Zhigang Zhang, Yujing Shi and Shiqiang Yan, . Multifocus Image Fusion with PCNN in Shearlet Domain. Research Journal of Applied Sciences, Engineering and Technology, (15): 2283-2290.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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