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Multi-focus Image Fusion Using an Effective Discrete Wavelet Transform Based Algorithm

Multi-focus Image Fusion Using an Effective Discrete Wavelet Transform Based Algorithm

In this paper, by considering the main objective of multi-focus image fusion and the physical meaning of wavelet coefficients, a discrete wavelet transform (DWT) based fusion technique with a novel coefficients selection algorithm is presented. After the source images are decomposed by DWT, two dif...

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Main Authors: Yang Yong, Huang Shuying, Gao Junfeng, Qian Zhongsheng
Format: Article
Language:English
Published: Sciendo 2014-04-01
Series:Measurement Science Review
Subjects:
Multi-focus image fusion
wavelet coefficients
image sharpness
energy
Online Access:http://www.degruyter.com/view/j/msr.2014.14.issue-2/msr-2014-0014/msr-2014-0014.xml?format=INT
id doaj-art-f5e7504e597d49eaa70fcd1f29951f56
recordtype oai_dc
spelling doaj-art-f5e7504e597d49eaa70fcd1f29951f562018-09-02T11:24:22ZengSciendoMeasurement Science Review1335-88712014-04-0114210210810.2478/msr-2014-0014msr-2014-0014Multi-focus Image Fusion Using an Effective Discrete Wavelet Transform Based AlgorithmYang Yong0Huang Shuying1Gao Junfeng2Qian Zhongsheng3School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330013, ChinaSchool of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang 330013, ChinaCollege of Biomedical Engineering, South-Central University for Nationalities, Wuhan 430074, ChinaSchool of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330013, China In this paper, by considering the main objective of multi-focus image fusion and the physical meaning of wavelet coefficients, a discrete wavelet transform (DWT) based fusion technique with a novel coefficients selection algorithm is presented. After the source images are decomposed by DWT, two different window-based fusion rules are separately employed to combine the low frequency and high frequency coefficients. In the method, the coefficients in the low frequency domain with maximum sharpness focus measure are selected as coefficients of the fused image, and a maximum neighboring energy based fusion scheme is proposed to select high frequency sub-bands coefficients. In order to guarantee the homogeneity of the resultant fused image, a consistency verification procedure is applied to the combined coefficients. The performance assessment of the proposed method was conducted in both synthetic and real multi-focus images. Experimental results demonstrate that the proposed method can achieve better visual quality and objective evaluation indexes than several existing fusion methods, thus being an effective multi-focus image fusion method.http://www.degruyter.com/view/j/msr.2014.14.issue-2/msr-2014-0014/msr-2014-0014.xml?format=INTMulti-focus image fusionwavelet coefficientsimage sharpnessenergy
institution Open Data Bank
collection Open Access Journals
building Directory of Open Access Journals
language English
format Article
author Yang Yong
Huang Shuying
Gao Junfeng
Qian Zhongsheng
spellingShingle Yang Yong
Huang Shuying
Gao Junfeng
Qian Zhongsheng
Multi-focus Image Fusion Using an Effective Discrete Wavelet Transform Based Algorithm
Measurement Science Review
Multi-focus image fusion
wavelet coefficients
image sharpness
energy
author_facet Yang Yong
Huang Shuying
Gao Junfeng
Qian Zhongsheng
author_sort Yang Yong
title Multi-focus Image Fusion Using an Effective Discrete Wavelet Transform Based Algorithm
title_short Multi-focus Image Fusion Using an Effective Discrete Wavelet Transform Based Algorithm
title_full Multi-focus Image Fusion Using an Effective Discrete Wavelet Transform Based Algorithm
title_fullStr Multi-focus Image Fusion Using an Effective Discrete Wavelet Transform Based Algorithm
title_full_unstemmed Multi-focus Image Fusion Using an Effective Discrete Wavelet Transform Based Algorithm
title_sort multi-focus image fusion using an effective discrete wavelet transform based algorithm
publisher Sciendo
series Measurement Science Review
issn 1335-8871
publishDate 2014-04-01
description In this paper, by considering the main objective of multi-focus image fusion and the physical meaning of wavelet coefficients, a discrete wavelet transform (DWT) based fusion technique with a novel coefficients selection algorithm is presented. After the source images are decomposed by DWT, two different window-based fusion rules are separately employed to combine the low frequency and high frequency coefficients. In the method, the coefficients in the low frequency domain with maximum sharpness focus measure are selected as coefficients of the fused image, and a maximum neighboring energy based fusion scheme is proposed to select high frequency sub-bands coefficients. In order to guarantee the homogeneity of the resultant fused image, a consistency verification procedure is applied to the combined coefficients. The performance assessment of the proposed method was conducted in both synthetic and real multi-focus images. Experimental results demonstrate that the proposed method can achieve better visual quality and objective evaluation indexes than several existing fusion methods, thus being an effective multi-focus image fusion method.
topic Multi-focus image fusion
wavelet coefficients
image sharpness
energy
url http://www.degruyter.com/view/j/msr.2014.14.issue-2/msr-2014-0014/msr-2014-0014.xml?format=INT
_version_ 1612646457125371904

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