Lossless Compression of Binary Holograms with Context Models and Adaptive Segmentation
 
Lossless Compression of Binary Holograms with Context Models and Adaptive Segmentation ■
 
Raees Kizhakkumkara, Raees Kizhakkumkara, Raees Kizhakkumkara, Tobias Birnbaum, Tobias Birnbaum, Tobias Birnbaum, David Blinder, David Blinder, David Blinder, Colas Schretter, Colas Schretter, Colas Schretter, Peter Schelkens, Peter Schelkens, Peter Schelkens
 
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.