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.
Kizhakkumkara Muhamad, R, Birnbaum, T, Blinder, D, Schretter, C & Schelkens, P 2021, Lossless Compression of Binary Holograms with Context Models and Adaptive Segmentation. in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)., DTh7C.7, Optical Society of America, OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), 19/07/21. https://doi.org/10.1364/DH.2021.DTh7C.7
Kizhakkumkara Muhamad, R., Birnbaum, T., Blinder, D., Schretter, C., & Schelkens, P. (2021). Lossless Compression of Binary Holograms with Context Models and Adaptive Segmentation. In OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP) Article DTh7C.7 Optical Society of America. https://doi.org/10.1364/DH.2021.DTh7C.7
@inproceedings{ee9e29eb97c549e8bdadf3248c1c33d8,
title = "Lossless Compression of Binary Holograms with Context Models and Adaptive Segmentation",
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.",
author = "{Kizhakkumkara Muhamad}, Raees and Tobias Birnbaum and David Blinder and Colas Schretter and Peter Schelkens",
note = "Funding Information: This research was funded by the Research Foundation - Flanders (FWO), namely Junior postdoctoral fellowship (12ZQ220N) and Bilateral collaboration with Japan (VS07820N). The point cloud objects'Cat' and'Dragon', and the holograms'Bridge' and'Piano' [5] are courtesy of Tosca hi-resolution 3D database v1.0, Stanford Computer Graphics Laboratory, ETRI and b<>com, respectively. Funding Information: This research was funded by the Research Foundation - Flanders (FWO), namely Junior postdoctoral fellowship (12ZQ220N) and Bilateral collaboration with Japan (VS07820N). The point cloud objects {\textquoteright}Cat{\textquoteright} and {\textquoteright}Dragon{\textquoteright}, and the holograms {\textquoteright}Bridge{\textquoteright} and {\textquoteright}Piano{\textquoteright} [5] are courtesy of Tosca hi-resolution 3D database v1.0, Stanford Computer Graphics Laboratory, ETRI and b<>com, respectively. Publisher Copyright: {\textcopyright} OSA 2021. Copyright: Copyright 2023 Elsevier B.V., All rights reserved.; OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP) ; Conference date: 19-07-2021 Through 23-03-2022",
year = "2021",
doi = "10.1364/DH.2021.DTh7C.7",
language = "English",
booktitle = "OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)",
publisher = "Optical Society of America",
}