A mathematical model of PCNN for image fusion with non-sampled contourlet transform-Reference-Cited by-同舟云学术

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

Published:2022-05-20 Issue:0 Volume:0 Page:
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Zhang Pai¹,Wang Lixia¹,Eslami Hayder²

Affiliation:

1. College of Intelligence and Information Engineering , Tangshan University , Tangshan , , China

2. Electrical and Computer Engineering Department , Michigan State University , East Lansing , MI , USA

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/amns.2021.2.00197

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