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We propose an approach to no-reference image quality evaluation that is consumer-centric and targets real consumer-type images with realistic distortions and realistic quality ranges. We show that the state-of-the-art approaches to no-reference image quality assessment do not perform as well on real consumer-type images, and propose an approach which is simple, efficient, easily interpretable, and...
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