Image Quality Metrics: PSNR Vs. SSIM

Alain Horé,Djemel Ziou

Pattern Recognition（2010）SCI 1区

MOIVRE Département d'informatique

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摘要

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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关键词

Gaussian blur,additive Gaussian white noise,structural similarity index measure,well-known objective image quality,Kodak database,better understanding,jpeg2000 compression,peak-signal-to-noise ratio,simple mathematical relationship,various kind,Image Quality Metrics