Pixel-level Image Fusion Based on Programmable GPU

DOI

10.2991/isccca.2013.121How to use a DOI?

Keywords

image fusion, local feature, GPU

Abstract

A novel algorithm which is image fusion based on GPU is proposed. The fused rule is regional energy. In recent years, the power of the computing of GPU has been greatly improved, which results that using it for the general-purpose computing has a rapid development. The essay researches on implementing the oriental field algorithm on GPU, including selecting GPU memories and dividing blocks and threads of GPU kernel functions. The results of experiment on the GPU of NVIDIA GTX560 are given, which shows that our proposed algorithm can be applied to the field of image fusion. Experiment shows the proposed algorithm has faster calcu-lation velocity and higher evaluation accuracy. The speed of the parallel algorithm is 200 times faster than that of the CPU-based implementation. Meanwhile the mutual information and QAB/F parameters are higher than that of the CPU-based algorithm.

Copyright

© 2013, 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  - Hong Li
AU  - Gao-Feng Tang
AU  - Fen-Xia Wu
AU  - Cong-e Tan
PY  - 2013/02
DA  - 2013/02
TI  - Pixel-level Image Fusion Based on Programmable GPU
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 487
EP  - 490
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.121
DO  - 10.2991/isccca.2013.121
ID  - Li2013/02
ER  -