No-Reference Deep Quality Assessment of Compressed Light Field Images
Author:
Funder
Ministry of Science and Technology
National Laboratory of Pattern Recognition
Tencent
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9428049/9428068/09428383.pdf?arnumber=9428383
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Quality Assessment of Light Field Images Based on Adaptive Attention in ViT;Electronics;2024-07-29
2. PVBLiF: A Pseudo Video-Based Blind Quality Assessment Metric for Light Field Image;IEEE Journal of Selected Topics in Signal Processing;2023-11
3. Screen-based 3D Subjective Experiment Software;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
4. Spatial-angular Quality-aware Representation Learning for Blind Light Field Image Quality Assessment;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
5. Connected without disconnection: Overview of light field metaverse applications and their quality of experience;Displays;2023-07
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