An Improved Gray Multi-focus Image Fusion Algorithm Based on Dual-Tree Complex Wavelet Transform

DOI

10.2991/mce-14.2014.48How to use a DOI?

Keywords

Multi-focus Image Fusion Fuzzy Theory Dual-Tree Complex Wavelet Transform

Abstract

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

Copyright

© 2014, 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/).

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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  - Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 219
EP  - 222
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.48
DO  - 10.2991/mce-14.2014.48
ID  - Wang2014/03
ER  -