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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537700/ https://www.ncbi.nlm.nih.gov/pubmed/37765741 http://dx.doi.org/10.3390/s23187684 |
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author | Dong, Tianyu Oh, Kwan-Jung Park, Joongki Jang, Euee S. |
author_facet | Dong, Tianyu Oh, Kwan-Jung Park, Joongki Jang, Euee S. |
author_sort | Dong, Tianyu |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10537700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105377002023-09-29 Compression Performance Analysis of Experimental Holographic Data Coding Systems Dong, Tianyu Oh, Kwan-Jung Park, Joongki Jang, Euee S. Sensors (Basel) Article 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. MDPI 2023-09-06 /pmc/articles/PMC10537700/ /pubmed/37765741 http://dx.doi.org/10.3390/s23187684 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dong, Tianyu Oh, Kwan-Jung Park, Joongki Jang, Euee S. Compression Performance Analysis of Experimental Holographic Data Coding Systems |
title | Compression Performance Analysis of Experimental Holographic Data Coding Systems |
title_full | Compression Performance Analysis of Experimental Holographic Data Coding Systems |
title_fullStr | Compression Performance Analysis of Experimental Holographic Data Coding Systems |
title_full_unstemmed | Compression Performance Analysis of Experimental Holographic Data Coding Systems |
title_short | Compression Performance Analysis of Experimental Holographic Data Coding Systems |
title_sort | compression performance analysis of experimental holographic data coding systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537700/ https://www.ncbi.nlm.nih.gov/pubmed/37765741 http://dx.doi.org/10.3390/s23187684 |
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