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In this paper, we analyse two well-known objective image quality metrics, the peak-signal-to-noise ratio (PSNR) as well as the structural similarity index measure (SSIM), and we derive a simple mathematical relationship between them which works for various kinds of image degradations such as Gaussian blur, additive Gaussian white noise, jpeg and jpeg2000 compression. A series of tests realized on images extracted from the Kodak database gives a better understanding of the similarity and difference between the SSIM and the PSNR.
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Horé et al. (Sun,) studied this question.
www.synapsesocial.com/papers/69d77556aa68b335b4f318b5 — DOI: https://doi.org/10.1109/icpr.2010.579
Alain Horé
Djemel Ziou
Université de Sherbrooke
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