Multiwavelet-Based Image Fusion Method Using Unit-Linking Pulse Coupled Neural Networks

Xi Cai; Han Guang; Jin Kuan Wang

doi:10.4028/www.scientific.net/AMR.905.548

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 905Multiwavelet-Based Image Fusion Method Using...

Multiwavelet-Based Image Fusion Method Using Unit-Linking Pulse Coupled Neural Networks

Abstract:

To simulate biological activities of human visual system to details and make full use of global features of source images, we propose a multiwavelet-based image fusion method using unit-linking pulse coupled neural networks (ULPCNNs) model. After motivated by external stimuli from images, ULPCNNs can produce series of binary pulses containing much global information. Then we employ the first firing time of each neuron as the salience measure. Experimental results demonstrate that, for multifocus images, remote sensing images, and infrared and visible images, our proposed method always generates satisfying fusion results.

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Advances in Applied Materials and Electronics Engineering III

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Periodical:

Advanced Materials Research (Volume 905)

Pages:

548-551

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.905.548

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Online since:

April 2014

Authors:

Xi Cai*, Han Guang, Jin Kuan Wang

Keywords:

Image Fusion, Multiwavelet Transform, Unit-Linking Pulse Coupled Neural Networks

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