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Rolling 3D Laplacian Pyramid Video Fusion

Ministry of Defence, Military Technical Institute, Ratka Resanovica 1, 11000 Belgrade, Serbia
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;
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]


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

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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).

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

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