Open AccessNew compression method for full-complex holograms using the modified zerotree algorithm with the adaptive discrete wavelet transform
Author(s) -
Jin-Kyum Kim,
Kyungjin Kim,
Ji-Won Kang,
KwanJung Oh,
Jinwoong Kim,
Dong-Wook Kim,
Young-Ho Seo
Publication year - 2020
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.406165
Subject(s) - holography , wavelet transform , computer science , algorithm , wavelet , data compression , discrete wavelet transform , compression (physics) , image compression , discrete cosine transform , artificial intelligence , computer vision , optics , image processing , materials science , image (mathematics) , physics , composite material
In this paper, we propose a new method for coding a full complex hologram with random phase. Since holograms with random phase have very unique spatial and frequency characteristics, a new compression method suitable for such holograms is required. We analyze the frequency characteristics of holograms with random phases and propose a new adaptive discrete wavelet transform (aDWT). Next, we propose a new modified zerotree alogrithm (mZTA) suitable for the subband configuration generated by the modified wavelet transform method. The results of the compression using the proposed method showed higher efficiency than the previous method, and the reconstructed images showed visually superior results.