Volume 7 Number 3 (Mar. 2012)
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JCP 2012 Vol.7(3): 636-644 ISSN: 1796-203X
doi: 10.4304/jcp.7.3.636-644

Novel Fused Image Quality Measures Based on Structural Similarity

Yiyong Han1, Junju Zhang1, 2, Benkang Chang1, 2, Yihui Yuan, Hui Xu1, 2
1Institute of Electronic Engineering and Optic-electronic Technology, Nanjing University of Science and Technology, Nanjing, P. R. China
2National key Laboratory of Science and technology on LLL night vision, Xi’an, P.R. China


Abstract—Under the assumption that human visual perception is highly adapted for extracting structural information from a scene, we present new approaches using structural similarity (SSIM) index for assessing grayscale fused image quality and color fusion method quality in image fusion. The advantages of grayscale fused image quality measure using SSIM are that the metric does not require a reference image and can be easily computed. The advantages of color fusion metric using SSIM are that it correlates strongly with human perception and can also be easily computed. Numerous simulations demonstrate that our measures conform to subjective evaluations and can be able to assess different image fusion methods.

Index Terms—Fused image, structural similarity (SSIM), color fusion, objective quality measure.

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Cite: Yiyong Han, Junju Zhang, Benkang Chang, Yihui Yuan, Hui Xu, "Novel Fused Image Quality Measures Based on Structural Similarity," Journal of Computers vol. 7, no. 3, pp. 636-644, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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