Revisiting far/near infrared pyramid-based fusion types for night vision using matlab

The night vision imaging mechanisms are developed to increase the visibility beyond normal human perception capabilities. So far, night vision methods reported in literature, such as, Morphological, Low Pass Pyramid, Contrast Pyramid, Filter Subtract Decimate and Shift Invariant methods, the Laplaci...

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Main Authors:	Mehfooz, Osama, Shah, Asadullah
Format:	Article
Language:	English
Published:	Caxton Printing Press 2011
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/9417/ http://irep.iium.edu.my/9417/1/9417.pdf

id	iium-9417
recordtype	eprints
spelling	iium-94172013-06-20T06:36:35Z http://irep.iium.edu.my/9417/ Revisiting far/near infrared pyramid-based fusion types for night vision using matlab Mehfooz, Osama Shah, Asadullah QA75 Electronic computers. Computer science The night vision imaging mechanisms are developed to increase the visibility beyond normal human perception capabilities. So far, night vision methods reported in literature, such as, Morphological, Low Pass Pyramid, Contrast Pyramid, Filter Subtract Decimate and Shift Invariant methods, the Laplacian fusion method has been rated, the best method [1][2]. In this research paper four different methods of fusion of images, Gradient, Wavelet, Quincuns Lifting, including Laplacian are processed using Matlab toolbox called Matifus for night vision. For comparing the results of processed images using above methods, Mean Opinion Score (MOS) is used. MOS result of Laplacian, wavelet, gradient and quincunx methods are compared. The MOS results on the scale of 1-5 indicate a score of 4.15 for Laplacian, that means the quality of image perceived by the scorers is rated between good and excellent. By using MOS and perceptually proving that Laplacian technique is better than all others for night vision systems. However Gradient scored 3.56, Wavelet scored 3.15 and lastly 2.22 was scored by Quincunx Lifting method. Key terms: FIR-Far Infrared, NIR-Near Infrared, Night Vision, Sensors-K-Kelvin, Micron, Optical Light, Mean Opinion Score (MOS). Caxton Printing Press 2011-05 Article NonPeerReviewed application/pdf en http://irep.iium.edu.my/9417/1/9417.pdf Mehfooz, Osama and Shah, Asadullah (2011) Revisiting far/near infrared pyramid-based fusion types for night vision using matlab. Pakistan Journal of Engineering Technology & Science (PJETS), 1 (1). pp. 21-36. ISSN 1995-1302
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Mehfooz, Osama Shah, Asadullah Revisiting far/near infrared pyramid-based fusion types for night vision using matlab
description	The night vision imaging mechanisms are developed to increase the visibility beyond normal human perception capabilities. So far, night vision methods reported in literature, such as, Morphological, Low Pass Pyramid, Contrast Pyramid, Filter Subtract Decimate and Shift Invariant methods, the Laplacian fusion method has been rated, the best method [1][2]. In this research paper four different methods of fusion of images, Gradient, Wavelet, Quincuns Lifting, including Laplacian are processed using Matlab toolbox called Matifus for night vision. For comparing the results of processed images using above methods, Mean Opinion Score (MOS) is used. MOS result of Laplacian, wavelet, gradient and quincunx methods are compared. The MOS results on the scale of 1-5 indicate a score of 4.15 for Laplacian, that means the quality of image perceived by the scorers is rated between good and excellent. By using MOS and perceptually proving that Laplacian technique is better than all others for night vision systems. However Gradient scored 3.56, Wavelet scored 3.15 and lastly 2.22 was scored by Quincunx Lifting method. Key terms: FIR-Far Infrared, NIR-Near Infrared, Night Vision, Sensors-K-Kelvin, Micron, Optical Light, Mean Opinion Score (MOS).
format	Article
author	Mehfooz, Osama Shah, Asadullah
author_facet	Mehfooz, Osama Shah, Asadullah
author_sort	Mehfooz, Osama
title	Revisiting far/near infrared pyramid-based fusion types for night vision using matlab
title_short	Revisiting far/near infrared pyramid-based fusion types for night vision using matlab
title_full	Revisiting far/near infrared pyramid-based fusion types for night vision using matlab
title_fullStr	Revisiting far/near infrared pyramid-based fusion types for night vision using matlab
title_full_unstemmed	Revisiting far/near infrared pyramid-based fusion types for night vision using matlab
title_sort	revisiting far/near infrared pyramid-based fusion types for night vision using matlab
publisher	Caxton Printing Press
publishDate	2011
url	http://irep.iium.edu.my/9417/ http://irep.iium.edu.my/9417/1/9417.pdf
first_indexed	2023-09-18T20:19:07Z
last_indexed	2023-09-18T20:19:07Z
_version_	1777407987495731200

Revisiting far/near infrared pyramid-based fusion types for night vision using matlab

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