Next Article in Journal
Performance Analysis of a User Selection Protocol in Cooperative Networks with Power Splitting Protocol-Based Energy Harvesting Over Nakagami-m/Rayleigh Channels
Next Article in Special Issue
HPEFT for Hierarchical Heterogeneous Multi-DAG in a Multigroup Scan UPA System
Previous Article in Journal
Using Different Ions in the Hydrothermal Method to Enhance the Photoluminescence Properties of Synthesized ZnO-Based Nanowires
Previous Article in Special Issue
A 2.5 Gbps, 10-Lane, Low-Power, LVDS Transceiver in 28 nm CMOS Technology
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle

Rolling 3D Laplacian Pyramid Video Fusion

1
Ministry of Defence, Military Technical Institute, Ratka Resanovica 1, 11000 Belgrade, Serbia
2
Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(4), 447; https://doi.org/10.3390/electronics8040447
Received: 25 January 2019 / Revised: 23 March 2019 / Accepted: 1 April 2019 / Published: 19 April 2019
(This article belongs to the Special Issue Signal Processing and Analysis of Electrical Circuit)
  |  
PDF [16082 KB, uploaded 19 April 2019]
  |  

Abstract

In this paper, we present a novel algorithm for video fusion of multi-sensor sequences applicable to real-time night vision systems. We employ the Laplacian pyramid fusion of a block of successive frames to add temporal robustness to the fused result. For the fusion rule, we first group high and low frequency levels of the decomposed frames in the block from both input sensor sequences. Then, we define local space-time energy measure to guide the selection based fusion process in a manner that achieves spatio-temporal stability. We demonstrate our approach on several well-known multi-sensor video fusion examples with varying contents and target appearance and show its advantage over conventional video fusion approaches. Computational complexity of the proposed methods is kept low by the use of simple linear filtering that can be easily parallelised for implementation on general-purpose graphics processing units (GPUs). View Full-Text
Keywords: image fusion; multi-sensor fusion; night vision image fusion; multi-sensor fusion; night vision
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

Pavlović, R.; Petrović, V. Rolling 3D Laplacian Pyramid Video Fusion. Electronics 2019, 8, 447.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Electronics EISSN 2079-9292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top