Volume 8 Number 1 (Jan. 2013)
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JSW 2013 Vol.8(1): 208-217 ISSN: 1796-217X
doi: 10.4304/jsw.8.1.208-217

Multi-band Vector Wavelet Transformation based Multi-Focus Image Fusion Algorithm

Yihua Lan1, Haozheng Ren1, Yong Zhang1, Chih-cheng Hung2
1School of Computer Engineering, Huaihai Institute of Technology, Lianyungang, China
2School of Computing and Software Engineering, Southern Polytechnic State University, Marietta, USA

Abstract—Multi-focus image fusion is one of the important embranchments of image fusion. It has been widely used in target identification, remote sensing image processing and so on. In this paper, a new multi-focus image fusion method based on multi-band vector wavelet is presented. Furthermore, some post processing is done in this paper, in which anisotropic diffusion arithmetic based on partial differential equations is used. As for the fusion image, the blocking effects which usually existed in the results are eliminated by using wavelet based image fusion method. To test and evaluate the proposed method, it is applied to a case study to demonstrate its performance in image fusion. Comparisons of experimental results by using several methods demonstrated the effectiveness of our proposed methods.

Index Terms—Image fusion, Wavelet analyses, Multi-band vector wavelet, Diffusion equation, Blocking effects, Image Enhancement, Diffusion Equation, Post filtering.


Cite: Yihua Lan, Haozheng Ren, Yong Zhang, Chih-cheng Hung, "Multi-band Vector Wavelet Transformation based Multi-Focus Image Fusion Algorithm," Journal of Software vol. 8, no. 1, pp. 208-217, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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