Dong Tianyu, Oh Kwan-Jung, Park Joongki, Jang Euee S
Department of Computer Science, Hanyang University, Seoul 04763, Republic of Korea.
Digital Holography Research Section, Electronics and Telecommunications Research Institute, Daejeon 34129, Republic of Korea.
Sensors (Basel). 2023 Sep 6;23(18):7684. doi: 10.3390/s23187684.
It is challenging to find a proper way to compress computer-generated holography (CGH) data owing to their huge data requirements and characteristics. This study proposes CGH data coding systems with high-efficiency video coding (HEVC), three-dimensional extensions of HEVC (3D-HEVC), and video-based point cloud compression (V-PCC) codecs. In the proposed system, we implemented a procedure for codec usage and format conversion and evaluated the objective and subjective results to analyze the performance of the three coding systems. We discuss the relative advantages and disadvantages of the three coding systems with respect to their coding efficiency and reconstruction results. Our analysis concluded that 3D-HEVC and V-PCC are potential solutions for compressing red, green, blue, and depth (RGBD)-sourced CGH data.
由于计算机生成全息术（CGH）数据对数据量的巨大需求和其自身特性，找到一种合适的方法来压缩这些数据具有挑战性。本研究提出了采用高效视频编码（HEVC）、HEVC的三维扩展（3D-HEVC）以及基于视频的点云压缩（V-PCC）编解码器的CGH数据编码系统。在所提出的系统中，我们实现了编解码器使用和格式转换的程序，并评估了客观和主观结果，以分析这三种编码系统的性能。我们讨论了这三种编码系统在编码效率和重建结果方面的相对优缺点。我们的分析得出结论，3D-HEVC和V-PCC是压缩红、绿、蓝和深度（RGBD）源CGH数据的潜在解决方案。
