| Title |
Compression Performance Analysis on Full-complex Hologram |
| Authors |
서주연(Juyeon Seo) ; 고현석(Hyunsuk Ko) |
| DOI |
https://doi.org/10.5573/ieie.2023.60.2.79 |
| Keywords |
Computed-generated hologram(CGH); Full-complex hologram; Hologram compression; Deep learning-based compression |
| Abstract |
Hologram technology can reproduce images in 3D space, providing users with a realistic visual experience. Since most holograms have a lager amount of information than general natural images, compression technology is essential for commercialization of holograms. However, the traditional compression method is not suitable for the characteristics of holograms. In this paper, the performance is analyzed through compression and reconstruction of a full-complex hologram according to the JPEG Pleno Holography standard. For compression, traditional compression codecs, JPEG2000 and HEVC(High Efficiency Video Coding), and Interfere and deep learning-based compression network considering the characteristics of the holograms are used. |