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cs.CV2024
Fine-grained subjective visual quality assessment for high-fidelity compressed images
Michela Testolina, Mohsen Jenadeleh, Shima Mohammadi +5
Advances in image compression, storage, and display technologies have made high-quality images and videos widely accessible. At this level of quality, distinguishing between compre…
cs.MM2024
Maximum entropy and quantized metric models for absolute category ratings
Dietmar Saupe, Krzysztof Rusek, David Hägele +2
The datasets of most image quality assessment studies contain ratings on a categorical scale with five levels, from bad (1) to excellent (5). For each stimulus, the number of ratin…