Image quality assessment using the SSIM and the just noticeable difference paradigm

Authors:
Jeremy R. Flynn;Steve Ward;Julian Abich;David Poole
Affiliations:
University of Central Florida, 4000 Central Florida Boulevard, Orlando, FL;University of Central Florida, 4000 Central Florida Boulevard, Orlando, FL;University of Central Florida, 4000 Central Florida Boulevard, Orlando, FL;University of Central Florida, 4000 Central Florida Boulevard, Orlando, FL
Venue:
EPCE'13 Proceedings of the 10th international conference on Engineering Psychology and Cognitive Ergonomics: understanding human cognition - Volume Part I
Year:
2013

Citing 2
Cited 0

Perceptual quality metrics applied to still image compression

Signal Processing - Special issue on image and video quality metrics
Image quality assessment: from error visibility to structural similarity

IEEE Transactions on Image Processing

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Abstract

The structural similarity index (SSIM) has been shown to be a superior objective image quality metric. A web-based pilot experiment was conducted with the goal of quantifying, through the use of a sample of human participants, a trend in SSIM values showing when the human visual system can begin to perceive distortions applied to reference images. The just noticeable difference paradigm was used to determine the point at which at least 50% of participants were unable to discern between compressed and uncompressed grayscale images. For four images, this point was at an SSIM value of 96, while for two images it was at 92, for an average of 95. These results suggest that, despite the wide differences in the type of image used, the point at which a human observer cannot determine that compression has been used hovers around an SSIM value of 95.