Muhamad, R. K., Birnbaum, T., Blinder, D., Schretter, C., & Schelkens, P. (2022). Binary hologram compression using context based Bayesian tree models with adaptive spatial segmentation. Optics Express, 30(14), 25597-25611. https://doi.org/10.1364/OE.457828

@article{f7f1b457bffd416a9d09e06c04ce1cd2,
title = "Binary hologram compression using context based Bayesian tree models with adaptive spatial segmentation",
abstract = "With holographic displays requiring giga- or terapixel resolutions, data compression is of utmost importance in making holography a viable technique in the near future. In addition, since the first-generation of holographic displays is expected to require binary holograms, associated compression algorithms are expected to be able to handle this binary format. In this work, the suitability of a context based Bayesian tree model is proposed as an extension to adaptive binary arithmetic coding to facilitate the efficient lossless compression of binary holograms. In addition, we propose a quadtree-based adaptive spatial segmentation strategy, as the scale dependent, quasi-stationary behavior of a hologram limits the applicability of the advocated modelling approach straightforwardly on the full hologram. On average, the proposed compression strategy produces files that are around 12% smaller than JBIG2, the reference binary image codec.",
author = "Muhamad, {Raees Kizhakkumkara} and Tobias Birnbaum and David Blinder and Colas Schretter and Peter Schelkens",
note = "Funding Information: Fonds Wetenschappelijk Onderzoek (12ZQ220N, VS07820N). Publisher Copyright: {\textcopyright} 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement Copyright: Copyright 2022 Elsevier B.V., All rights reserved.",
year = "2022",
month = jul,
day = "4",
doi = "10.1364/OE.457828",
language = "English",
volume = "30",
pages = "25597--25611",
journal = "Optics Express",
issn = "1094-4087",
publisher = "The Optical Society",
number = "14",
}