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

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...

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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:	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/089e2970b86f44d698e2c4e5695b9ae9
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id	oai:doaj.org-article:089e2970b86f44d698e2c4e5695b9ae9
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spelling	oai:doaj.org-article:089e2970b86f44d698e2c4e5695b9ae92021-12-02T07:35:47ZMulti-Focus Image Fusion Based on Pixel Significance Using Counterlet Transform1818-1171https://doaj.org/article/089e2970b86f44d698e2c4e5695b9ae92015-10-01T00:00:00Zhttp://www.iasj.net/iasj?func=fulltext&aId=104627https://doaj.org/toc/1818-1171The 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. Iman M.G. Alwan Al-Khwarizmi College of Engineering – University of BaghdadarticleChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 11, Iss 3, Pp 85-95 (2015)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	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	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.
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/089e2970b86f44d698e2c4e5695b9ae9
work_keys_str_mv	AT imanmgalwan multifocusimagefusionbasedonpixelsignificanceusingcounterlettransform
_version_	1718399319902519296

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

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