Lossless Compression of Binary Holograms with Context Models and Adaptive Segmentation

Raees Kizhakkumkara Muhamad; Raees Kizhakkumkara Muhamad; Tobias Birnbaum; Tobias Birnbaum; David Blinder; David Blinder; Colas Schretter; Colas Schretter; Peter Schelkens; Peter Schelkens

doi:10.1364/DH.2021.DTh7C.7

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper DTh7C.7
•https://doi.org/10.1364/DH.2021.DTh7C.7

Lossless Compression of Binary Holograms with Context Models and Adaptive Segmentation

Raees Kizhakkumkara Muhamad, Tobias Birnbaum, David Blinder, Colas Schretter, and Peter Schelkens

Digital Holography and Three-Dimensional Imaging 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-89-7

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Computer Generated Holograms III (DTh7C)

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R. K. Muhamad, T. Birnbaum, D. Blinder, C. Schretter, and P. Schelkens, "Lossless Compression of Binary Holograms with Context Models and Adaptive Segmentation," in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), H. Hua, B. Javidi, M. Martinez-Corral, O. Matoba, A. Stern, S. Thibault, T. Alieva, J. Ke, F. Willomitzer, F. Okten, P. Silveira, P. Banerjee, E. Stoykova, D. Chu, J. Park, F. Imai, C. Joo, M. Digman, D. Gardner, S. Gladysz, D. LeMaster, S. Basu, and O. Korotkova, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper DTh7C.7.

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Abstract

We demonstrate how applying adaptive segmentation on context modelling schemes can be used for lossless compression of binary holograms. A tree-based scheme using Bayesian inference is introduced to improve the compression rate over fixed sized models.

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