Performance Evaluation of Objective Image Quality Metrics on Conventional and Learning-Based Compression Artifacts. - Michela Testolina; Evgeniy Upenik; João Ascenso; Fernando Pereira 001; Touradj Ebrahimi (QoMEX, 2021)

Large-Scale Crowdsourcing Subjective Quality Evaluation of Learning-Based Image Coding. - Evgeniy Upenik; Michela Testolina; João Ascenso; Fernando Pereira 001; Touradj Ebrahimi (VCIP, 2021)

Influence of Spatial Rendering on the Performance of Point Cloud Objective Quality Metrics. - Davi Lazzarotto; Michela Testolina; Touradj Ebrahimi (EUVIP, 2022)

On the Impact of Spatial Rendering on Point Cloud Subjective Visual Quality Assessment. - Davi Lazzarotto; Michela Testolina; Touradj Ebrahimi (QoMEX, 2022)

On the Performance of Subjective Visual Quality Assessment Protocols for Nearly Visually Lossless Image Compression. - Michela Testolina; Davi Lazzarotto; Rafael Rodrigues; Shima Mohammadi; João Ascenso; António M. G. Pinheiro; Touradj Ebrahimi (ACM Multimedia, 2023)

JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range. - Michela Testolina; Vlad Hosu; Mohsen Jenadeleh; Davi Lazzarotto; Dietmar Saupe; Touradj Ebrahimi (QoMEX, 2023)

Assessing objective quality metrics for JPEG and MPEG point cloud coding. - Davi Lazzarotto; Michela Testolina; Touradj Ebrahimi (QoMEX, 2024)

Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression. - Davi Lazzarotto; Michela Testolina; Touradj Ebrahimi (EURASIP J. Image Video Process., 2024)

Fine-Grained Subjective Visual Quality Assessment for High-Fidelity Compressed Images. - Michela Testolina; Mohsen Jenadeleh; Shima Mohammadi; Shaolin Su; João Ascenso; Touradj Ebrahimi; Jon Sneyers; Dietmar Saupe (DCC, 2025)