Image Fusion Algorithm Based on Deng Correlation and Image Saliency in Curvelet Framework

DOI

10.2991/nceece-15.2016.282How to use a DOI?

Keywords

image fusion; saliency; curvelet transform; Deng correlation

Abstract

In this article, a multi-sensor image fusion algorithm is presented. The fusion framework is built on the second discrete curvelet transform to make full use of its multi-scale and multi-direction representability. The fusion rules are mainly based on Deng correlation for representing image similarity and the image saliency for showing the importance of targets. Subjective and objective evaluation results from experimental simulation show the efficacy of the proposed fusion algorithm.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - YuanLi Liu
AU  - Yi Yang
AU  - Jian Sun
PY  - 2015/12
DA  - 2015/12
TI  - Image Fusion Algorithm Based on Deng Correlation and Image Saliency in Curvelet Framework
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1566
EP  - 1570
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.282
DO  - 10.2991/nceece-15.2016.282
ID  - Liu2015/12
ER  -