From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality

CVPR, pp. 3572-3582, 2019.

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Once viewed as a basic vision science modelling problem to improve on weak Mean Squared Error based ways of assessing television systems and cameras, the picture quality problem has evolved into one that demands the large-scale tools of data science and computational vision

Abstract:

Blind or no-reference (NR) perceptual picture quality prediction is a difficult, unsolved problem of great consequence to the social and streaming media industries that impacts billions of viewers daily. Unfortunately, popular NR prediction models perform poorly on real-world distorted pictures. To advance progress on this problem, we i...More

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