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Quality assessment of image patches distorted by image compression using crowdsourcing

: Bosse, S.; Siekmann, M.; Rasch, J.; Wiegand, T.; Samek, W.


IEEE International Conference on Multimedia and Expo, ICME 2016 : Seattle, USA, July 11-15, 2016
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-4673-7258-9 (electronic)
ISBN: 978-1-4673-7257-2 (USB)
ISBN: 978-1-4673-7259-6 (print)
International Conference on Multimedia and Expo (ICME) <2016, Seattle/Wash.>
Fraunhofer HHI ()

Three experiments addressing the assessment of perceived image quality in a patch-based manner are compared for HEVC compression artifacts. It is shown that image patches of a size small as 128Ã128 pixel are large enough to evaluate the perceived image quality in a Degradation Category Rating (DCR) setting. Ratings obtained with 128Ã128 pixel sized images patches and 512Ã512 pixel sized images of the same spatial statistics show a correlation of r=0.99. Based on this finding, image quality assessment of 128Ã128 pixel sized image patches degraded by HEVC compression is compared for controlled lab environment and uncontrolled crowdsourcing settings. Although we find high overall correlation between the quality ratings obtained in the two environments, observers tend to give worse ratings in the crowdsourcing setting and for conditions of higher quality a reduction of correlation is observed.