activity
20232025
collaborators

6 papers

eess.IV2025

Subjective Evaluation of Low Distortion Coded Light Fields with View Synthesis

Daniela Saraiva, Joao Prazeres, Manuela Pereira +1

Light field technology is a powerful imaging method that captures both the intensity and direction of light rays in a scene, enabling the reconstruction of 3D information and suppo…

cs.CV2025

Fine-Grained HDR Image Quality Assessment From Noticeably Distorted to Very High Fidelity

Mohsen Jenadeleh, Jon Sneyers, Davi Lazzarotto +10

High dynamic range (HDR) and wide color gamut (WCG) technologies significantly improve color reproduction compared to standard dynamic range (SDR) and standard color gamuts, result…

eess.IV2025

Point Cloud Objective Quality: Benchmarking Features and Quality Evaluation

Joao Prazeres, Rafael Rodrigues, Manuela Pereira +1

Full-reference point cloud objective metrics are currently providing very accurate representations of perceptual quality. These metrics are usually composed of a set of features th…

eess.IV2024

Quality Analysis of the Coding Bitrate Tradeoff Between Geometry and Attributes for Colored Point Clouds

Joao Prazeres, Rafael Rodrigues, Manuela Pereira +1

Typically, point cloud encoders allocate a similar bitrate for geometry and attributes (usually RGB color components) information coding. This paper reports a quality study conside…

eess.IV2024

Performance analysis of Deep Learning-based Lossy Point Cloud Geometry Compression Coding Solutions

Joao Prazeres, Rafael Rodrigues, Manuela Pereira +1

The quality evaluation of three deep learning-based coding solutions for point cloud geometry, notably ADLPCC, PCC GEO CNNv2, and PCGCv2, is presented. The MPEG G-PCC was used as a…

eess.IV2023

Subjective Quality Evaluation of Point Clouds Using a Head Mounted Display

Joao Prazeres, Rafael Rodrigues, Manuela Pereira +1

This paper reports on a subjective quality evaluation of static point clouds encoded with the MPEG codecs V-PCC and G-PCC, the deep learning-based codec RS-DLPCC, and the popular D…