A New Image Fusion Method Based on Improved PCNN and Multiscale Decomposition

Nian Yi Wang; Wei Lan Wang; Xiao Ran Guo

doi:10.4028/www.scientific.net/AMR.834-836.1011

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 834-836A New Image Fusion Method Based on Improved PCNN...

A New Image Fusion Method Based on Improved PCNN and Multiscale Decomposition

Abstract:

A new image fusion algorithm based on nonsubsampled contourlet transform and spiking cortical model is proposed in this paper. Considering the human visual system characteristics, two different fusion rules are used to fuse the low and high frequency sub-bands of nonsubsampled contourlet transform respectively. A new maximum selection rule is defined to fuse low frequency coefficients. Spatial frequency is used for the fusion rule of high frequency coefficients. Experimental results demonstrate the effectiveness of the proposed fusion method.

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Periodical:

Advanced Materials Research (Volumes 834-836)

Pages:

1011-1015

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.834-836.1011

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Online since:

October 2013

Authors:

Nian Yi Wang*, Wei Lan Wang, Xiao Ran Guo

Keywords:

Multifocus Image Fusion, Nonsubsampled Contourlet Transform (NSCT), Pulse Coupled Neural Network (PCNN), Spiking Cortical Model (SCM)

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