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A mathematical model of PCNN for image fusion with non-sampled contourlet transform

Pai Zhang

Pai Zhang

College of Intelligence and Information Engineering, Tangshan UniversityTangshan, China
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Zhang, Pai
, 
Lixia Wang

Lixia Wang

College of Intelligence and Information Engineering, Tangshan UniversityTangshan, China
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Wang, Lixia
 et 
Hayder Eslami

Hayder Eslami

Electrical and Computer Engineering Department, Michigan State UniversityEast Lansing, USA
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Eslami, Hayder
  
20 mai 2022
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Publié en ligne: 20 mai 2022
Pages: 2243 - 2252
Reçu: 19 mars 2022
Accepté: 14 avr. 2022
DOI: https://doi.org/10.2478/amns.2021.2.00197
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© 2023 Pai Zhang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

(a). Decomposition of NSCT two-layer results. (b) NSCT high-frequency subband diagram. NSCT, non-sampled contourlet transform
(a). Decomposition of NSCT two-layer results. (b) NSCT high-frequency subband diagram. NSCT, non-sampled contourlet transform

Fig. 2

Single neural cell model
Single neural cell model

Fig. 3

Implementation of image fusion algorithm by NSCT. NSCT, non-sampled contourlet transform
Implementation of image fusion algorithm by NSCT. NSCT, non-sampled contourlet transform

Fig. 4

Image fusion results of ClockA/B
Image fusion results of ClockA/B

Fig. 5

Image fusion results of CT/MRI
Image fusion results of CT/MRI
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