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实验全息数据编码系统的压缩性能分析
Tianyu Dong1, Kwan-Jung Oh2, Joongki Park2
1Department of Computer Science, Hanyang University, Seoul 04763, Republic of Korea.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
压缩计算机生成全息 (CGH) 数据是困难的. 这项研究表明,三维HEVC (3D-HEVC) 和基于视频的点云压缩 (V-PCC) 对于RGBD来源的CGH数据压缩是有效的.
科学领域:
- 计算机生成的全息 (CGH)
- 数字信号处理是数字信号处理.
- 数据压缩数据的压缩.
背景情况:
- 计算机生成全息 (CGH) 数据由于大数据量和独特的特征而存在重大压缩挑战.
- 有效的压缩方法对于全息数据的实际应用和传输至关重要.
研究的目的:
- 评估高效视频编码 (HEVC),3D-HEVC和V-PCC对压缩CGH数据的有效性.
- 为了比较CGH数据的不同压缩编码器的编码效率和重建质量.
- 确定红色,绿色,蓝色和深度 (RGBD) 来源的CGH数据的最佳编码系统.
主要方法:
- 实施CGH数据的编解码使用和格式转换程序.
- 对HEVC,3D-HEVC和V-PCC编解码器的性能进行客观和主观评估.
- 在评估的系统中对编码效率和重建结果进行比较分析.
主要成果:
- 这项研究分析了HEVC,3D-HEVC和V-PCC对CGH数据压缩的性能.
- 进行了客观和主观评估,以评估编码效率和重建准确性.
- 讨论了每个编码系统的相对优点和缺点.
结论:
- 三维HEVC (3D-HEVC) 和基于视频的点云压缩 (V-PCC) 显示了压缩RGBD来源的CGH数据的巨大潜力.
- 这些编解码器为克服与CGH相关的数据大小挑战提供了有希望的解决方案.
- 进一步的研究可以探索在CGH应用中对这些编解码器的优化.
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