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

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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.