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http://dx.doi.org/10.5909/JBE.2021.26.2.143

Adaptive Wavelet Transform for Hologram Compression  

Kim, Jin-Kyum (Department of Electronic Material Engineering, Kwangwoon University)
Oh, Kwan-Jung (ETRI)
Kim, Jin-Woong (ETRI)
Kim, Dong-Wook (Department of Electronic Material Engineering, Kwangwoon University)
Seo, Young-Ho (Department of Electronic Material Engineering, Kwangwoon University)
Publication Information
Journal of Broadcast Engineering / v.26, no.2, 2021 , pp. 143-154 More about this Journal
Abstract
In this paper, we propose a method of compressing digital hologram standardized data provided by JPEG Pleno. In numerical reconstruction of digital holograms, the addition of random phases for visualization reduces speckle noise due to interference and doubles the compression efficiency of holograms. Holograms are composed of completely complex floating point data, and due to ultra-high resolution and speckle noise, it is essential to develop a compression technology tailored to the characteristics of the hologram. First, frequency characteristics of hologram data are analyzed using various wavelet filters to analyze energy concentration according to filter types. Second, we introduce the subband selection algorithm using energy concentration. Finally, the JPEG2000, SPIHT, H.264 results using the Daubechies 9/7 wavelet filter of JPEG2000 and the proposed method are used to compress and restore, and the efficiency is analyzed through quantitative quality evaluation compared to the compression rate.
Keywords
Hologram; Discrete Wavelete Transform; Signal Processing; Zero-tree; Compression;
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