The following publications are possibly variants of this publication:
- Quality Assessment for DIBR-Synthesized Images With Local and Global DistortionsLaihua Wang, Yue Zhao, Xu Ma, Sumin Qi, Weiqing Yan, Hua Chen 0004. access, 8:27938-27948, 2020. [doi]
- No-reference quality assessment of DIBR-synthesized videos by measuring temporal flickeringYu Zhou, Leida Li, Shiqi Wang, Jinjian Wu, Yun Zhang. jvcir, 55:30-39, 2018. [doi]
- Measuring Coarse-to-Fine Texture and Geometric Distortions for Quality Assessment of DIBR-Synthesized ImagesXuejin Wang, Feng Shao, Qiuping Jiang, Xiangchao Meng, Yo-Sung Ho. tmm, 23:1173-1186, 2021. [doi]
- Quality Assessment of DIBR-Synthesized Images by Measuring Local Geometric Distortions and Global SharpnessLeida Li, Yu Zhou, Ke Gu, Weisi Lin, Shiqi Wang. tmm, 20(4):914-926, 2018. [doi]
- Quality assessment of DIBR-synthesized views: An overviewShishun Tian, Lu Zhang 0037, Wenbin Zou, Xia Li, Ting Su, Luce Morin, Olivier Déforges. ijon, 423:158-178, 2021. [doi]
- No-Reference DIBR-Synthesized Video Quality Assessment based on Spatio-Temporal Texture Inconsistency MeasurementGuangcheng Wang, Kezheng Sun, Lijuan Tang. ispacs 2022: 1-4 [doi]