An Image Fusion Algorithm Based on NSCT

Zhong Jie Xiao

doi:10.4028/www.scientific.net/AMM.427-429.1589

Paper Titles

An Improved RV Based Fuzzy Cluster Analysis (IRVFCA) Method for Task-Related Functional MRI Data Analysis
p.1570

The Signal Processing in Track Irregularity Detection
p.1574

Dynamic Spectrum Allocation Using Q-Learning in Cognitive Radio Systems
p.1579

Algorithm for Maneuvering Target Tracking Based on MATLAB
p.1585

An Image Fusion Algorithm Based on NSCT
p.1589

A Novel Image Fusion Algorithm
p.1593

The Development of Topic Model Based on Beta-Negative Binomial Process
p.1597

Mirror Transform to Conquer Deception for Particle Swarm Optimization
p.1601

Multi-Instance Learning for Image Retrieval with Relevance Feedback
p.1606

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429An Image Fusion Algorithm Based on NSCT

An Image Fusion Algorithm Based on NSCT

Abstract:

The study proposed an improved NSCT fusion method based on the infrared and visible light images characteristics and fusion requirement. This paper improved the high-frequency coefficient and low-frequency coefficient fusion rules. The low-frequency sub-band images adopted the pixel feature energy weighted fusion rule. The high-frequency sub-band images adopted the neighborhood variance feature information fusion rule. The fusion experiment results show that this algorithm has good robustness. It could effectively extract edges and texture information. The fused images have abundance scene information and clear target. So this algorithm is an effective infrared and visible image fusion method.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

1589-1592

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.1589

Citation:

Cite this paper

Online since:

September 2013

Authors:

Zhong Jie Xiao*

Keywords:

Fusion, High-Frequency Coefficients, Low-Frequency Coefficients, Neighborhood Variance

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] WANG Hong-mei，ZHANG Ke，LI Yan-jun. Image fusion algorithm based on wavelet transform [J]. Infrared and Laser Engineering，2005，34(3)：328-332.

Google Scholar

[2] Cheng Yinglei, Zhao Rongchun, Wan Bing. An optimal algorithm of multisensor image fusion based on wavelet transform[C]∥Proceedings of7th International Conference on Signal Processing, Beijing, 2004: 1049-1051.

DOI: 10.1109/icosp.2004.1441502

Google Scholar

[3] da Cunha A L，Zhou J P，Do M N. The nonsubsamp- led contourlet transform：theory, design，and applications [J]. IEEE Transactions on Image Processing(S1057-7149), 2006, 15(10): 3089-3101.

DOI: 10.1109/tip.2006.877507

Google Scholar

[4] Songfeng Yin, Liangcai Cao, Qiaofeng Tan, Guofan Jin. Infrared and Visible Image Fusion based on NSCT and Fuzzy Logic. Mechatronics and Automation (ICMA), 2010 International Conference. 2010: 671 – 675.

DOI: 10.1109/icma.2010.5588318

Google Scholar