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Author
Angel D. Sappa
;
Juan A. Carvajal
;
Cristhian A. Aguilera
;
Miguel Oliveira
;
Dennis G. Romero
;
Boris X. Vintimilla
Title
Wavelet-Based Visible and Infrared Image Fusion: A Comparative Study
Type
Journal Article
Year
2016
Publication
Sensors Journal
Abbreviated Journal
Volume
Vol. 16
Issue
Pages
pp. 1-15
Keywords
image fusion
;
fusion evaluation metrics
;
visible and infrared imaging
;
discrete wavelet transform
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 LongWave InfraRed (LWIR).
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
Approved
no
Call Number
cidis @ cidis @
Serial
47
Permanent link to this record
Author
Abel Rubio, Wilton Agila, Leandro González & Jonathan Aviles-Cedeno
Title
Distributed Intelligence in Autonomous PEM Fuel Cell Control.
Type
Journal Article
Year
2023
Publication
Energies 2023
Abbreviated Journal
Volume
Vol. 16
Issue
Issue 12
Pages
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
19961073
ISBN
Medium
Area
Expedition
Conference
Notes
Approved
no
Call Number
cidis @ cidis @
Serial
217
Permanent link to this record
Author
Cristhian A. Aguilera
;
Angel D. Sappa
;
Ricardo Toledo
Title
Cross-Spectral Local Descriptors via Quadruplet Network
Type
Journal Article
Year
2017
Publication
In Sensors Journal
Abbreviated Journal
Volume
Vol. 17
Issue
Pages
pp. 873
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
Approved
no
Call Number
gtsi @ user @
Serial
64
Permanent link to this record
Author
Xavier Soria
;
Angel D. Sappa
;
Riad Hammoud
Title
Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Image. Sensors 2018 ,2059.
Type
Journal Article
Year
2018
Publication
Abbreviated Journal
Volume
Vol. 18
Issue
Issue 7
Pages
Keywords
Abstract
Multi-spectral RGB-NIR sensors have become ubiquitous in recent years. These sensors allow the visible and near-infrared spectral bands of a given scene to be captured at the same time. With such cameras, the acquired imagery has a compromised RGB color representation due to near-infrared bands (700–1100 nm) cross-talking with the visible bands (400–700 nm). This paper proposes two deep learning-based architectures to recover the full RGB color images, thus removing the NIR information from the visible bands. The proposed approaches directly restore the high-resolution RGB image by means of convolutional neural networks. They are evaluated with several outdoor images; both architectures reach a similar performance when evaluated in different scenarios and using different similarity metrics. Both of them improve the state of the art approaches.
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Thesis
Publisher
Place of Publication
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Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
Approved
no
Call Number
gtsi @ user @
Serial
96
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