Multi-Focus Image Fusion Based on Pixel Significance Using Counterlet Transform

Abstract The objective of image fusion is to merge multiple sources of images together in such a way that the final representation contains higher amount of useful information than any input one.. In this paper, a weighted average fusion method is proposed. It depends on using weights that are...

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Autor principal:	Iman M.G. Alwan
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2015
Materias:	Keywords: image fusion, counterlet transform (CT), pixel significance, weighted average. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/47187451a0694f5a8f9737627377737b
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spelling	oai:doaj.org-article:47187451a0694f5a8f9737627377737b2021-12-02T05:27:15ZMulti-Focus Image Fusion Based on Pixel Significance Using Counterlet Transform1818-11712312-0789https://doaj.org/article/47187451a0694f5a8f9737627377737b2015-06-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/237https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 Abstract The objective of image fusion is to merge multiple sources of images together in such a way that the final representation contains higher amount of useful information than any input one.. In this paper, a weighted average fusion method is proposed. It depends on using weights that are extracted from source images using counterlet transform. The extraction method is done by making the approximated transformed coefficients equal to zero, then taking the inverse counterlet transform to get the details of the images to be fused. The performance of the proposed algorithm has been verified on several grey scale and color test images, and compared with some present methods. Keywords: image fusion, counterlet transform (CT), pixel significance, weighted average. Iman M.G. AlwanAl-Khwarizmi College of Engineering – University of BaghdadarticleKeywords: image fusion, counterlet transform (CT), pixel significance, weighted average.Chemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 11, Iss 3 (2015)
institution	DOAJ
collection	DOAJ
language	EN
topic	Keywords: image fusion, counterlet transform (CT), pixel significance, weighted average. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Keywords: image fusion, counterlet transform (CT), pixel significance, weighted average. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Iman M.G. Alwan Multi-Focus Image Fusion Based on Pixel Significance Using Counterlet Transform
description	Abstract The objective of image fusion is to merge multiple sources of images together in such a way that the final representation contains higher amount of useful information than any input one.. In this paper, a weighted average fusion method is proposed. It depends on using weights that are extracted from source images using counterlet transform. The extraction method is done by making the approximated transformed coefficients equal to zero, then taking the inverse counterlet transform to get the details of the images to be fused. The performance of the proposed algorithm has been verified on several grey scale and color test images, and compared with some present methods. Keywords: image fusion, counterlet transform (CT), pixel significance, weighted average.
format	article
author	Iman M.G. Alwan
author_facet	Iman M.G. Alwan
author_sort	Iman M.G. Alwan
title	Multi-Focus Image Fusion Based on Pixel Significance Using Counterlet Transform
title_short	Multi-Focus Image Fusion Based on Pixel Significance Using Counterlet Transform
title_full	Multi-Focus Image Fusion Based on Pixel Significance Using Counterlet Transform
title_fullStr	Multi-Focus Image Fusion Based on Pixel Significance Using Counterlet Transform
title_full_unstemmed	Multi-Focus Image Fusion Based on Pixel Significance Using Counterlet Transform
title_sort	multi-focus image fusion based on pixel significance using counterlet transform
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2015
url	https://doaj.org/article/47187451a0694f5a8f9737627377737b
work_keys_str_mv	AT imanmgalwan multifocusimagefusionbasedonpixelsignificanceusingcounterlettransform
_version_	1718400407292608512

Multi-Focus Image Fusion Based on Pixel Significance Using Counterlet Transform

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