Using power mean for image quality assessment

A. Nechayev


Results of research on using power mean values for image quality assessment are presented in this article. The objects of study in the work are linear correlation coefficients between image quality metrics values and mean opinion scores. Full Reference quality metrics are researched in this paper. Power mean values with different parameters are used as researched metrics. The guideline of the research is using TID2013 image database and mean opinion scores for detecting objective metrics that are the most correlated with mean opinion scores and using multiple regression for increasing the correlation. Embarcadero RAD Studio IDE was used for conducting computational experiments, Python programming language was used for performing regression and evaluating the results. Research results can be used for objective quality assessment of distorted images.

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