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cs.MM2024
Uncertainty-driven Sampling for Efficient Pairwise Comparison Subjective Assessment
Shima Mohammadi, João Ascenso
Assessing image quality is crucial in image processing tasks such as compression, super-resolution, and denoising. While subjective assessments involving human evaluators provide t…
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
Fidelity-preserving Learning-Based Image Compression: Loss Function and Subjective Evaluation Methodology
Shima Mohammadi, Yaojun Wu, João Ascenso
Learning-based image compression methods have emerged as state-of-the-art, showcasing higher performance compared to conventional compression solutions. These data-driven approache…