5 citations · 5 across the 16 of their papers we have counts for
6 papers · 1 filter
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…
Evaluation of strategies for efficient rate-distortion NeRF streaming
Pedro Martin, António Rodrigues, João Ascenso +1
Neural Radiance Fields (NeRF) have revolutionized the field of 3D visual representation by enabling highly realistic and detailed scene reconstructions from a sparse set of images.…
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…
Globally and Locally Optimized Pannini Projection for High FoV Rendering of 360-degree Images
Falah Jabar, Joao Ascenso, Maria Paula Queluz
To render a spherical (360 degree or omnidirectional) image on planar displays, a 2D image -- called as viewport -- must be obtained by projecting a sphere region on a plane, accor…
NeRF View Synthesis: Subjective Quality Assessment and Objective Metrics Evaluation
Pedro Martin, Antonio Rodrigues, Joao Ascenso +1
Neural radiance fields (NeRF) are a groundbreaking computer vision technology that enables the generation of high-quality, immersive visual content from multiple viewpoints. This c…
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…