Infrared and visible image fusion based on NSCT and stacked sparse autoencoders

Infrared and visible image fusion based on NSCT and stacked sparse autoencoders Multimed Tools Appl (2018) 77:22407–22431 https://doi.org/10.1007/s11042-018-5985-6 Infrared and visible image fusion based on NSCT and stacked sparse autoencoders 1,2 1 1 Xiaoqing Luo · Xinyi Li · Pengfei Wang · 3 3 4 Shuhan Qi · Jian Guan · Zhancheng Zhang Received: 11 October 2017 / Revised: 3 April 2018 / Accepted: 9 April 2018 / Published online: 29 May 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract To integrate the infrared object into the fused image effectively, a novel infrared (IR) and visible (VI) image fusion method by using nonsubsampled contourlet transform (NSCT) and stacked sparse autoencoders (SSAE) is proposed. Firstly, the IR and VI images are decomposed into low-frequency subbands and high-frequency subbands by using NSCT. Secondly, SSAE is performed on the low frequency subband of IR image to calculate the object reliabilities (OR) of the low frequency subband coefficients. Subsequently, an adap- tive multi-strategy fusion rule based on OR is designed for the fusion of low frequency subbands and a choose-max fusion rule with the absolute values of high frequency sub- band coefficients are employed for the fusion of high frequency subbands. Experimental results show the proposed method is superior to the http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

Infrared and visible image fusion based on NSCT and stacked sparse autoencoders

Loading next page...
 
/lp/springer_journal/infrared-and-visible-image-fusion-based-on-nsct-and-stacked-sparse-IL9E4vJugD
Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-018-5985-6
Publisher site
See Article on Publisher Site

Abstract

Multimed Tools Appl (2018) 77:22407–22431 https://doi.org/10.1007/s11042-018-5985-6 Infrared and visible image fusion based on NSCT and stacked sparse autoencoders 1,2 1 1 Xiaoqing Luo · Xinyi Li · Pengfei Wang · 3 3 4 Shuhan Qi · Jian Guan · Zhancheng Zhang Received: 11 October 2017 / Revised: 3 April 2018 / Accepted: 9 April 2018 / Published online: 29 May 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract To integrate the infrared object into the fused image effectively, a novel infrared (IR) and visible (VI) image fusion method by using nonsubsampled contourlet transform (NSCT) and stacked sparse autoencoders (SSAE) is proposed. Firstly, the IR and VI images are decomposed into low-frequency subbands and high-frequency subbands by using NSCT. Secondly, SSAE is performed on the low frequency subband of IR image to calculate the object reliabilities (OR) of the low frequency subband coefficients. Subsequently, an adap- tive multi-strategy fusion rule based on OR is designed for the fusion of low frequency subbands and a choose-max fusion rule with the absolute values of high frequency sub- band coefficients are employed for the fusion of high frequency subbands. Experimental results show the proposed method is superior to the

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: May 29, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off