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Subjective studies have been conducted in the past to obtain human judgments of visual quality on distorted images in or der, among other things, to benchmark objective image qual ity assessment (lQA) algorithms. Existing subjective studies primarily have records of human ratings on images that were corrupted by only one of many possible distortions. However, the majority of images that are available for consumption are corrupted by multiple distortions. Towards broadening the corpora ofdoi:10.1109/acssc.2012.6489321 dblp:conf/acssc/JayaramanMMB12 fatcat:e2ycrknpz5gfzjqxffy5rcwwme