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Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering

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

Authors
Jianyu Wang, Xiaojun Liu
Corresponding Author
Jianyu Wang
Available Online March 2014.
DOI
https://doi.org/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
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Proceedings
2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-94-62520-31-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/mce-14.2014.48How to use a DOI?
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  -