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Author
Patricia L. Suarez
;
Angel D. Sappa
;
Boris X. Vintimilla
Title
Colorizing Infrared Images through a Triplet Condictional DCGAN Architecture
Type
Conference Article
Year
2017
Publication
19th International Conference on Image Analysis and Processing.
Abbreviated Journal
Volume
Issue
Pages
287-297
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
66
Permanent link to this record
Author
Patricia L. Suarez
;
Angel D. Sappa
;
Boris X. Vintimilla
Title
Learning Image Vegetation Index through a Conditional Generative Adversarial Network
Type
Conference Article
Year
2017
Publication
2nd IEEE Ecuador Tehcnnical Chapters Meeting (ETCM)
Abbreviated Journal
Volume
Issue
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
ISBN
Medium
Area
Expedition
Conference
Notes
Approved
no
Call Number
gtsi @ user @
Serial
70
Permanent link to this record
Author
Xavier Soria
;
Angel D. Sappa
;
Arash Akbarinia
Title
Multispectral Single-Sensor RGB-NIR Imaging: New Challenges an Oppotunities
Type
Conference Article
Year
2017
Publication
The 7th International Conference on Image Processing Theory, Tools and Application
Abbreviated Journal
Volume
Issue
Pages
1-6
Keywords
Abstract
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Thesis
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Editor
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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
72
Permanent link to this record
Author
Patricia L. Suarez
;
Angel D. Sappa
;
Boris X. Vintimilla
;
Riad I. Hammoud
Title
Deep Learning based Single Image Dehazing
Type
Conference Article
Year
2018
Publication
14th IEEE Workshop on Perception Beyond the Visible Spectrum – In conjunction with CVPR 2018. Salt Lake City, Utah. USA
Abbreviated Journal
Volume
Issue
Pages
Keywords
Abstract
This paper proposes a novel approach to remove haze
degradations in RGB images using a stacked conditional
Generative Adversarial Network (GAN). It employs a triplet
of GAN to remove the haze on each color channel independently.
A multiple loss functions scheme, applied over a
conditional probabilistic model, is proposed. The proposed
GAN architecture learns to remove the haze, using as conditioned
entrance, the images with haze from which the clear
images will be obtained. Such formulation ensures a fast
model training convergence and a homogeneous model generalization.
Experiments showed that the proposed method
generates high-quality clear images.
Address
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Editor
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Summary Language
Original Title
Series Editor
Series Title
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Notes
Approved
no
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gtsi @ user @
Serial
83
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