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Authors: Chihiro Ikuta 1 ; Songjun Zhang 2 ; Yoko Uwate 1 ; Guoan Yang 2 and Yoshifumi Nishio 1

Affiliations: 1 Tokushima University, Japan ; 2 Xi'an Jiaotong University, China

ISBN: 978-989-758-003-1

ISSN: 2184-4321

Keyword(s): Image Fusion, Visible Image, Infrared Image, Pulse Coupled Neural Network, Non-subsampled Contourlet Transform.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Image Generation Pipeline: Algorithms and Techniques

Abstract: An image fusion algorithm between visible and infrared images is significant task for computer vision applications such as multi-sensor systems. Among them, although a visible image is clear perfectly able to be seen through the naked eyes, it is often suffers with noise; while an infrared image is unclear but it has high anti-noise property. In this paper, we propose a novel image fusion algorithm for visible and infrared images using a non-subsampled contourlet transform (NSCT) and a pulse-coupled neural network (PCNN). First, we decompose two original images above mentioned into low and high frequency coefficients based on the NSCT. Moreover, each low frequency coefficients for both images are duplicated at multiple scales, and are processed by laplacian filter and average filter respectively. Finally, we can fuse the normalized coefficients by using the PCNN. Conversely, we can reconstruct a fused image based on the low and high frequency coefficients, which are fused by using the inverse NSCT. Experimental results show that the proposed image fusion algorithm surpasses the conventional and state-of-art image fusion algorithm. (More)

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Paper citation in several formats:
Ikuta, C.; Zhang, S.; Uwate, Y.; Yang, G. and Nishio, Y. (2014). A Novel Fusion Algorithm for Visible and Infrared Image using Non-subsampled Contourlet Transform and Pulse-coupled Neural Network. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1 ISSN 2184-4321, pages 160-164. DOI: 10.5220/0004732601600164

@conference{visapp14,
author={Chihiro Ikuta. and Songjun Zhang. and Yoko Uwate. and Guoan Yang. and Yoshifumi Nishio.},
title={A Novel Fusion Algorithm for Visible and Infrared Image using Non-subsampled Contourlet Transform and Pulse-coupled Neural Network},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={160-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004732601600164},
isbn={978-989-758-003-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - A Novel Fusion Algorithm for Visible and Infrared Image using Non-subsampled Contourlet Transform and Pulse-coupled Neural Network
SN - 978-989-758-003-1
IS - 2184-4321
AU - Ikuta, C.
AU - Zhang, S.
AU - Uwate, Y.
AU - Yang, G.
AU - Nishio, Y.
PY - 2014
SP - 160
EP - 164
DO - 10.5220/0004732601600164

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