Infrared and visible image fusion via octave Gaussian pyramid framework

Abstract Image fusion integrates information from multiple images (of the same scene) to generate a (more informative) composite image suitable for human and computer vision perception. The method based on multiscale decomposition is one of the commonly fusion methods. In this study, a new fusion fr...

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Autores principales:	Lei Yan, Qun Hao, Jie Cao, Rizvi Saad, Kun Li, Zhengang Yan, Zhimin Wu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b9496b27b4344d2ebaaf58d50d5ddb86
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id	oai:doaj.org-article:b9496b27b4344d2ebaaf58d50d5ddb86
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spelling	oai:doaj.org-article:b9496b27b4344d2ebaaf58d50d5ddb862021-12-02T14:12:42ZInfrared and visible image fusion via octave Gaussian pyramid framework10.1038/s41598-020-80189-12045-2322https://doaj.org/article/b9496b27b4344d2ebaaf58d50d5ddb862021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80189-1https://doaj.org/toc/2045-2322Abstract Image fusion integrates information from multiple images (of the same scene) to generate a (more informative) composite image suitable for human and computer vision perception. The method based on multiscale decomposition is one of the commonly fusion methods. In this study, a new fusion framework based on the octave Gaussian pyramid principle is proposed. In comparison with conventional multiscale decomposition, the proposed octave Gaussian pyramid framework retrieves more information by decomposing an image into two scale spaces (octave and interval spaces). Different from traditional multiscale decomposition with one set of detail and base layers, the proposed method decomposes an image into multiple sets of detail and base layers, and it efficiently retains high- and low-frequency information from the original image. The qualitative and quantitative comparison with five existing methods (on publicly available image databases) demonstrate that the proposed method has better visual effects and scores the highest in objective evaluation.Lei YanQun HaoJie CaoRizvi SaadKun LiZhengang YanZhimin WuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lei Yan Qun Hao Jie Cao Rizvi Saad Kun Li Zhengang Yan Zhimin Wu Infrared and visible image fusion via octave Gaussian pyramid framework
description	Abstract Image fusion integrates information from multiple images (of the same scene) to generate a (more informative) composite image suitable for human and computer vision perception. The method based on multiscale decomposition is one of the commonly fusion methods. In this study, a new fusion framework based on the octave Gaussian pyramid principle is proposed. In comparison with conventional multiscale decomposition, the proposed octave Gaussian pyramid framework retrieves more information by decomposing an image into two scale spaces (octave and interval spaces). Different from traditional multiscale decomposition with one set of detail and base layers, the proposed method decomposes an image into multiple sets of detail and base layers, and it efficiently retains high- and low-frequency information from the original image. The qualitative and quantitative comparison with five existing methods (on publicly available image databases) demonstrate that the proposed method has better visual effects and scores the highest in objective evaluation.
format	article
author	Lei Yan Qun Hao Jie Cao Rizvi Saad Kun Li Zhengang Yan Zhimin Wu
author_facet	Lei Yan Qun Hao Jie Cao Rizvi Saad Kun Li Zhengang Yan Zhimin Wu
author_sort	Lei Yan
title	Infrared and visible image fusion via octave Gaussian pyramid framework
title_short	Infrared and visible image fusion via octave Gaussian pyramid framework
title_full	Infrared and visible image fusion via octave Gaussian pyramid framework
title_fullStr	Infrared and visible image fusion via octave Gaussian pyramid framework
title_full_unstemmed	Infrared and visible image fusion via octave Gaussian pyramid framework
title_sort	infrared and visible image fusion via octave gaussian pyramid framework
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/b9496b27b4344d2ebaaf58d50d5ddb86
work_keys_str_mv	AT leiyan infraredandvisibleimagefusionviaoctavegaussianpyramidframework AT qunhao infraredandvisibleimagefusionviaoctavegaussianpyramidframework AT jiecao infraredandvisibleimagefusionviaoctavegaussianpyramidframework AT rizvisaad infraredandvisibleimagefusionviaoctavegaussianpyramidframework AT kunli infraredandvisibleimagefusionviaoctavegaussianpyramidframework AT zhengangyan infraredandvisibleimagefusionviaoctavegaussianpyramidframework AT zhiminwu infraredandvisibleimagefusionviaoctavegaussianpyramidframework
_version_	1718391806299734016

Infrared and visible image fusion via octave Gaussian pyramid framework

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