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Summary
This summary is machine-generated.

Compressing computer-generated holography (CGH) data is difficult. This study shows three-dimensional HEVC (3D-HEVC) and video-based point cloud compression (V-PCC) are effective for RGBD-sourced CGH data compression.

Keywords:
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Area of Science:

  • Computer-generated holography (CGH)
  • Digital signal processing
  • Data compression

Background:

  • Computer-generated holography (CGH) data presents significant compression challenges due to large data volumes and unique characteristics.
  • Efficient compression methods are crucial for the practical application and transmission of holographic data.

Purpose of the Study:

  • To evaluate the effectiveness of High-Efficiency Video Coding (HEVC), 3D-HEVC, and V-PCC for compressing CGH data.
  • To compare the coding efficiency and reconstruction quality of different compression codecs for CGH data.
  • To identify optimal coding systems for red, green, blue, and depth (RGBD)-sourced CGH data.

Main Methods:

  • Implementation of a procedure for codec usage and format conversion for CGH data.
  • Objective and subjective evaluation of the performance of HEVC, 3D-HEVC, and V-PCC codecs.
  • Comparative analysis of coding efficiency and reconstruction results across the evaluated systems.

Main Results:

  • The study analyzed the performance of HEVC, 3D-HEVC, and V-PCC for CGH data compression.
  • Objective and subjective evaluations were conducted to assess coding efficiency and reconstruction fidelity.
  • Relative advantages and disadvantages of each coding system were discussed.

Conclusions:

  • Three-dimensional HEVC (3D-HEVC) and video-based point cloud compression (V-PCC) demonstrate significant potential for compressing RGBD-sourced CGH data.
  • These codecs offer promising solutions for overcoming the data size challenges associated with CGH.
  • Further research can explore optimizations for these codecs in CGH applications.