Back to Search Start Over

Statistical evaluation of no-reference image visual quality metrics

Authors :
Karen Egiazarian
Oleg I. Eremeev
Nikolay Ponomarenko
Vladimir V. Lukin
Source :
EUVIP
Publication Year :
2010
Publisher :
IEEE, 2010.

Abstract

A task of no-reference visual quality metric verification is considered. A test set that contains 500 JPEG format images having different distortions is created. The results of experiments carried out by 316 volunteer observers to evaluate visual quality of images are presented. The experiments allowed obtaining mean opinion scores (MOS) based on averaging the evaluations. Several non-reference image visual quality metrics have been analyzed. Spearman and Kendall correlations between MOS and metrics values are calculated. It is shown that all analyzed metrics have not enough correspondence to human perception.

Details

Database :
OpenAIRE
Journal :
2010 2nd European Workshop on Visual Information Processing (EUVIP)
Accession number :
edsair.doi...........9b9351fad270e4c8bd0a25c249fcce1f
Full Text :
https://doi.org/10.1109/euvip.2010.5699121