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. © 2010 IEEE.
CITATION STYLE
Horé, A., & Ziou, D. (2010). Image quality metrics: PSNR vs. SSIM. In Proceedings - International Conference on Pattern Recognition (pp. 2366–2369). https://doi.org/10.1109/ICPR.2010.579
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