PROJECT TITLE :
Objective Consumer Device Photo Quality Evaluation
We have a tendency to propose an approach to no-reference image quality evaluation that's consumer-centric and targets real shopper-type images with realistic distortions and realistic quality ranges. We have a tendency to show that the state-of-the-art approaches to no-reference image quality assessment do not perform as well on real shopper-sort pictures, and propose an approach which is simple, economical, easily interpretable, and achieves high prediction performance on a dataset of images with real non-simulated distortions.
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