Compression Performance Analysis of Experimental Holographic Data Coding Systems

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...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Vol. 23; no. 18; p. 7684
Main Authors: Dong, Tianyu, Oh, Kwan-Jung, Park, Joongki, Jang, Euee S.
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.09.2023
MDPI
Subjects:
Analysis
Coding standards
Data compression
Efficiency
holography
Image coding
image communication
Methods
Neural networks
ISSN:1424-8220, 1424-8220
Online Access:Get full text
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Summary: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.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s23187684