Wavelet-Based Visible and Infrared Image Fusion : A Comparative Study
Sappa, Angel Domingo (Centre de Visió per Computador (Bellaterra, Catalunya))
Carvajal, Juan A. (Escuela Superior Politécnica del Litoral)
Aguilera, Cristhian A (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Oliveira, Miguel (Institute of Electronics and Informatics Engineering of Aveiro)
Romero, Dennis (Escuela Superior Politécnica del Litoral)
Vintimilla, Boris X. (Escuela Superior Politécnica del Litoral)

Date:	2016
Abstract:	This paper evaluates different wavelet-based cross-spectral image fusion strategies adopted to merge visible and infrared images. The objective is to find the best setup independently of the evaluation metric used to measure the performance. Quantitative performance results are obtained with state of the art approaches together with adaptations proposed in the current work. The options evaluated in the current work result from the combination of different setups in the wavelet image decomposition stage together with different fusion strategies for the final merging stage that generates the resulting representation. Most of the approaches evaluate results according to the application for which they are intended for. Sometimes a human observer is selected to judge the quality of the obtained results. In the current work, quantitative values are considered in order to find correlations between setups and performance of obtained results; these correlations can be used to define a criteria for selecting the best fusion strategy for a given pair of cross-spectral images. The whole procedure is evaluated with a large set of correctly registered visible and infrared image pairs, including both Near InfraRed (NIR) and Long Wave InfraRed (LWIR).
Grants:	Ministerio de Economía y Competitividad TIN2014-56919-C3-2-R
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Image fusion ; Fusion evaluation metrics ; Visible and infrared imaging ; Discrete wavelet transform
Published in:	Sensors (Basel, Switzerland), Vol. 16, Issue 6 (June 2016) , art. 861, ISSN 1424-8220

DOI: 10.3390/s16060861
PMID: 27294938

15 p, 32.5 MB

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