Comparison study of image fusion based on multi-scale transforms and sparse representation

DOI

10.2991/amitp-16.2016.72How to use a DOI?

Keywords

multi-scale transform, sparse representation, registration, shift-invariance, robust image fusion.

Abstract

Nowadays image fusion becomes very intensive research. Multi-scale transform and sparse representation are typical tools in fusion processing. However, most of efforts are focus on the accurate registration images. A comparative study of MST and SR method over mis-registration are proposed to investigate the robust performance. Five metrics are adopted to evaluate the quality of different methods. The experimental results suggest that the kinds of transform play a crucial role for MST methods, and SR generally shows better performance.

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/).

Download article (PDF)

TY  - CONF
AU  - Bin Sun
AU  - Qiao Deng
AU  - Jiajun Rui
AU  - Kai Hu
AU  - Qi Yang
PY  - 2016/09
DA  - 2016/09
TI  - Comparison study of image fusion based on multi-scale transforms and sparse representation
BT  - Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
PB  - Atlantis Press
SP  - 376
EP  - 379
SN  - 2352-538X
UR  - https://doi.org/10.2991/amitp-16.2016.72
DO  - 10.2991/amitp-16.2016.72
ID  - Sun2016/09
ER  -