Fusion of Visible and Infrared Image Using Adaptive Tetrolet Transform

DOI

10.2991/iccmcee-15.2015.147How to use a DOI?

Keywords

Visible and infrared image, tetrolet transform, image fusion, edge information measurement factor

Abstract

A new region-based image fusion technique using the adaptive tetrolet transform is proposed to produce a fused image better for human and machine interpretation. Firstly, the visible image and infrared image can be decomposed into low-frequency and high-frequency coefficients using tetrolet transform. For the low-frequency coefficients, the average fusion method is used. For the each directional high frequency sub-band coefficients, the larger region edge information measurement factor is used to select the better coefficients for fusion. At last the fused image can be obtained by utilizing inverse transform for fused tetrolet coefficients. Experimental results show that the proposed algorithm gives more satisfactory results than the traditional image fusion algorithms in preserving the edges and texture information.

Copyright

© 2015, 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  - Kaifeng Liu
AU  - Baohong Yuan
AU  - Dexiang Zhang
AU  - JingJing Zhang
PY  - 2015/11
DA  - 2015/11
TI  - Fusion of Visible and Infrared Image Using Adaptive Tetrolet Transform
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 807
EP  - 811
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.147
DO  - 10.2991/iccmcee-15.2015.147
ID  - Liu2015/11
ER  -