Next Article in Journal
A Wide Dynamics and Fast Scan Interrogating Method for a Fiber Bragg Grating Sensor Network Implemented Using Code Division Multiple Access
Previous Article in Journal
EBDC: An Energy-Balanced Data Collection Mechanism Using a Mobile Data Collector in WSNs
Article Menu

Export Article

Open AccessArticle
Sensors 2012, 12(5), 5872-5887; https://doi.org/10.3390/s120505872

Improved Image Fusion Method Based on NSCT and Accelerated NMF

1
College of Computer Science, China West Normal University, 1 Shida Road, Nanchong 637002, China
2
Department of Medical Imaging, North Sichuan Medical College, 234 Fu Jiang Road, Nanchong 637000, China
*
Author to whom correspondence should be addressed.
Received: 5 March 2012 / Revised: 24 April 2012 / Accepted: 25 April 2012 / Published: 7 May 2012
(This article belongs to the Section Physical Sensors)
Full-Text   |   PDF [875 KB, uploaded 21 June 2014]

Abstract

In order to improve algorithm efficiency and performance, a technique for image fusion based on the Non-subsampled Contourlet Transform (NSCT) domain and an Accelerated Non-negative Matrix Factorization (ANMF)-based algorithm is proposed in this paper. Firstly, the registered source images are decomposed in multi-scale and multi-direction using the NSCT method. Then, the ANMF algorithm is executed on low-frequency sub-images to get the low-pass coefficients. The low frequency fused image can be generated faster in that the update rules for W and H are optimized and less iterations are needed. In addition, the Neighborhood Homogeneous Measurement (NHM) rule is performed on the high-frequency part to achieve the band-pass coefficients. Finally, the ultimate fused image is obtained by integrating all sub-images with the inverse NSCT. The simulated experiments prove that our method indeed promotes performance when compared to PCA, NSCT-based, NMF-based and weighted NMF-based algorithms. View Full-Text
Keywords: image fusion; non-subsampled contourlet transform; nonnegative matrix factorization; neighborhood homogeneous measurement image fusion; non-subsampled contourlet transform; nonnegative matrix factorization; neighborhood homogeneous measurement
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Wang, J.; Lai, S.; Li, M. Improved Image Fusion Method Based on NSCT and Accelerated NMF. Sensors 2012, 12, 5872-5887.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top