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2012 (Vol. 4, Issue: 15)
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 

Key words:  PCNN, shearlet transform, NSCT, , , ,
Vol. 4 , (15): 2283-2290
Submitted Accepted Published
October 23, 2011 December 27, 2011 August 01, 2012

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.
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  Cite this Reference:
Peng Geng, Xiang Zheng, Zhigang Zhang, Yujing Shi and Shiqiang Yan, 2012. Multifocus Image Fusion with PCNN in Shearlet Domain.  Research Journal of Applied Sciences, Engineering and Technology, 4(15): 2283-2290.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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