论文标题
查看有效的光场压缩的子采样和重建
View Sub-sampling and Reconstruction for Efficient Light Field Compression
论文作者
论文摘要
压缩是许多实际应用的重要任务。尽管以前的工作提出了许多用于有效的光场压缩的方法，但视图选择对此任务的影响并未得到很好的利用。在这项工作中，我们研究了光场压缩的不同子采样和重建策略。我们在光场压缩之前和之后应用各种子采样和相应的重建策略。然后，评估了完全重建的光场，以评估不同方法的性能。我们的评估是对现实世界和合成数据集进行的，并且从我们的实验结果中设计出最佳策略。我们希望这项研究将对未来的研究（例如光场流，存储和传输）有益。
Compression is an important task for many practical applications of light fields. Although previous work has proposed numerous methods for efficient light field compression, the effect of view selection on this task is not well exploited. In this work, we study different sub-sampling and reconstruction strategies for light field compression. We apply various sub-sampling and corresponding reconstruction strategies before and after light field compression. Then, fully reconstructed light fields are assessed to evaluate the performance of different methods. Our evaluation is performed on both real-world and synthetic datasets, and optimal strategies are devised from our experimental results. We hope this study would be beneficial for future research such as light field streaming, storage, and transmission.
