Impact of subjective dataset on the performance of image quality metrics

The interest in objective quality assessment have significantly increased over the past decades. Several objective quality metrics have been proposed and made publicly available, moreover, several subjective quality assessment databases are distributed in order to evaluate and compare the metrics. However, several question arises: are the objective metrics behaviours constant across databases, contents and distortions? how significantly the subjective scores might fluctuate on different displays (i.e. CRT or LCD)? which objective quality metric might best evaluate a given distortion? In this article, we analyse the behaviour of four objective quality metrics (including PSNR) tested on three image databases. We demonstrate that the performances of the quality metrics can strongly fluctuate depending on the database used for testing. We also show the consistency of all metrics for two distinct displays.

• Type: Conference
• Year: 2008
• Where: ICIP
• Authors: Sylvain Tourancheau, Florent Autrusseau, Parvez Z. M. Sazzad, Yuukou Horita
• Keywords: ICIP 2008, Image Processing, Objective Quality Assessment, Objective Quality Metrics, Quality Assessment