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Performance Evaluation of Objective Image Quality Metrics on Conventional and Learning-Based Compression Artifacts.

, , , , and . QoMEX, page 109-114. IEEE, (2021)

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Influence of Spatial Rendering on the Performance of Point Cloud Objective Quality Metrics., , and . EUVIP, page 1-6. IEEE, (2022)Large-Scale Crowdsourcing Subjective Quality Evaluation of Learning-Based Image Coding., , , , and . VCIP, page 1-5. IEEE, (2021)Assessing objective quality metrics for JPEG and MPEG point cloud coding., , and . QoMEX, page 8-14. IEEE, (2024)JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range., , , , , and . QoMEX, page 55-60. IEEE, (2023)Performance Evaluation of Objective Image Quality Metrics on Conventional and Learning-Based Compression Artifacts., , , , and . QoMEX, page 109-114. IEEE, (2021)Performance evaluation of learning based image coding solutions and quality metrics, , , , and . 85th JPEG Meeting, (November 2019)On the Impact of Spatial Rendering on Point Cloud Subjective Visual Quality Assessment., , and . QoMEX, page 1-6. IEEE, (2022)On the Performance of Subjective Visual Quality Assessment Protocols for Nearly Visually Lossless Image Compression., , , , , , and . ACM Multimedia, page 6715-6723. ACM, (2023)