An Improved Gray Multi-focus Image Fusion Algorithm Based on Dual-Tree Complex Wavelet Transform
Jianyu Wang, Xiaojun Liu
Available Online March 2014.
- https://doi.org/10.2991/mce-14.2014.48How to use a DOI?
- Multi-focus Image Fusion Fuzzy Theory Dual-Tree Complex Wavelet Transform
- In this paper, a gray multi-focus image fusion algorithm based on fuzzy theory classification and Dual-Tree Complex Wavelet Transform is proposed in accordance with fusion of gray multi-focus images. Fuzzy theory is introduced to remove uncertainty when choosing sub-band coefficients in smooth regions after Dual-Tree Complex Wavelet Transform. Fuzzy membership is used to measure the mapping relation between different feature types of images and corresponding pixels gray values. The uncertainty probably exists in fusion process is removed efficiently. Efficient fusion and detail enhancement of images are realized. Simulation results verify the effectiveness and superiority of proposed algorithms
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jianyu Wang AU - Xiaojun Liu PY - 2014/03 DA - 2014/03 TI - An Improved Gray Multi-focus Image Fusion Algorithm Based on Dual-Tree Complex Wavelet Transform BT - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14) PB - Atlantis Press SP - 219 EP - 222 SN - 1951-6851 UR - https://doi.org/10.2991/mce-14.2014.48 DO - https://doi.org/10.2991/mce-14.2014.48 ID - Wang2014/03 ER -