{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T15:36:49Z","timestamp":1773157009406,"version":"3.50.1"},"reference-count":29,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2023,9,6]],"date-time":"2023-09-06T00:00:00Z","timestamp":1693958400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Institute for Information and Communications Technology Promotion","award":["2019-0-00001"],"award-info":[{"award-number":["2019-0-00001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s23187684","type":"journal-article","created":{"date-parts":[[2023,9,6]],"date-time":"2023-09-06T10:23:42Z","timestamp":1693995822000},"page":"7684","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Compression Performance Analysis of Experimental Holographic Data Coding Systems"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3500-5867","authenticated-orcid":false,"given":"Tianyu","family":"Dong","sequence":"first","affiliation":[{"name":"Department of Computer Science, Hanyang University, Seoul 04763, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kwan-Jung","family":"Oh","sequence":"additional","affiliation":[{"name":"Digital Holography Research Section, Electronics and Telecommunications Research Institute, Daejeon 34129, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joongki","family":"Park","sequence":"additional","affiliation":[{"name":"Digital Holography Research Section, Electronics and Telecommunications Research Institute, Daejeon 34129, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Euee S.","family":"Jang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Hanyang University, Seoul 04763, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3378444","article-title":"Computer-generated holograms for 3D imaging: A survey","volume":"53","author":"Sahin","year":"2020","journal-title":"ACM Comput. 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