No-Reference Stereoscopic Image Quality Assessment Based on Binocular Visual Saliency Weighting
Author:
Affiliation:
1. School of Information Science and Engineering, Shandong University, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3582649.3582650
Reference23 articles.
1. Quality Assessment of Stereoscopic Images
2. Full-reference quality assessment of stereopairs accounting for rivalry
3. No-Reference Quality Assessment of Natural Stereopairs
4. Objective Quality Assessment of Screen Content Images by Uncertainty Weighting
5. A full‐reference stereoscopic image quality assessment index based on stable aggregation of monocular and binocular visual features
Cited by 2 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. Are Standard CNNs Good Enough for No-Reference Stereoscopic Image Quality Assessment?;2024 International Conference on Signal Processing and Communications (SPCOM);2024-07-01
2. Saliency and Depth-aware Full Reference 360-degree Image Quality Assessment;International Journal of Pattern Recognition and Artificial Intelligence;2023-12-08
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