Fusion of Infrared and Visible Light Images Based on Compressive Sensing

DOI

10.2991/ameii-15.2015.234How to use a DOI?

Keywords

Image fusion; Compressive Sensing; NSCT; Infrared Images; Visible Light Images

Abstract

Through NSCT transformation, an image will be decomposed into a low-pass sub-band and K-direction sub-bands, but the sparsity is different for each direction. Therefore, this paper proposes a new way for fusion of infrared and visible light images which is based on improved compressive sensing. First, strengthen the infrared image. Then, making a NSCT decomposition to the enhanced infrared image and visible light image, next doing compression to high frequency sub-bands by improved compressive sensing, and after that to fuse them. For the low-pass sub-band, it uses block DCT of high frequency energy rule to fuse them. Finally, it gets fusion image by reconstruction of compressive sensing and inverse NSCT transform for data which has been fused. When compared with the traditional compressive Sensing method, the simulation shows that it not only improves parameters, such as entropy, and standard deviation, average gradient, but reduces the amount of data and running time effectively.

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/).

Download article (PDF)

TY  - CONF
AU  - Yanhai Wu
AU  - Ye Zhang
AU  - Nan Wu
AU  - Jing Wang
PY  - 2015/04
DA  - 2015/04
TI  - Fusion of Infrared and Visible Light Images Based on Compressive Sensing
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1268
EP  - 1273
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.234
DO  - 10.2991/ameii-15.2015.234
ID  - Wu2015/04
ER  -