Comparison study of image fusion based on multi-scale transforms and sparse representation
Bin Sun, Qiao Deng, Jiajun Rui, Kai Hu, Qi Yang
Available Online September 2016.
- https://doi.org/10.2991/amitp-16.2016.72How to use a DOI?
- multi-scale transform, sparse representation, registration, shift-invariance, robust image fusion.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/amitp-16.2016.72 DO - https://doi.org/10.2991/amitp-16.2016.72 ID - Sun2016/09 ER -