Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

May 20, 2022


Pages

2243-2252


DOI

Article

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

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Authors

Pai Zhang Affiliation:
College of Intelligence and Information Engineering, Tangshan University, Tangshan, 063000, China
, Lixia Wang Affiliation:
College of Intelligence and Information Engineering, Tangshan University, Tangshan, 063000, China
and Hayder Eslami Affiliation:
Electrical and Computer Engineering Department, Michigan State University, East Lansing, MI 48824, USA


Abstract

Non-sampled contourlet transform (NSCT) is a kind of non-down sampling image transformation, without spectrum aliasing, and the high-frequency region component can be further decomposed into various direction information, which has a good expression of image details. Therefore, this paper proposes an image fusion technology based on NSCT. Considering the different characteristics of low-frequency and high-frequency region components, the PCNN parallel method and ‘golden section method’ are used as double fusion rules, respectively in high- and low-frequency regions, whichperform the merge operation on the low area component. Experiments show that this algorithm has great advantages in preserving the details of image contour, texture and edge.


Keywords

Non-sampled Contourlet transform, image fusion, PCNN, Golden section method, 08-04


Citation

Zhang, P., Wang, L., & Eslami, H. (2021). A mathematical model of PCNN for image fusion with non-sampled contourlet transform. Applied Mathematics and Nonlinear Sciences, 6(2), 2243–2252. https://doi.org/10.2478/amns.2021.2.00197

Published by: Engineering Journals

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