Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Perceptual quality assessment in digital pathology: Modeling diagnostic usability from expert opinions.

Computer methods and programs in biomedicine·2026

Same author

Multi-Path Interference Challenges and Suggested Solution for Correlation-Assisted Direct Time-of-Flight.

Sensors (Basel, Switzerland)·2026

Same author

Computer-generated holography using the generalized Van Cittert-Zernike Schell propagator.

Optics letters·2026

Same author

Generalized Van Cittert-Zernike Schell propagator: an efficient algorithm for simulating partially coherent light.

Optics express·2025

Same author

Sparse point cloud computer-generated holography with the Gabor transform.

Optics express·2025

Same author

Asymmetric point-spread function in the tilted plane.

Optics express·2025

Same journal

Long-term stabilization of intensity-difference squeezing from four-wave mixing in rubidium vapor.

Optics express·2026

Same journal

Robust 3D topography measurement of large-range high-aspect-ratio structures based on dual-domain statistical filtering in SD-OCT.

Optics express·2026

Same journal

Broadband transmissive terahertz metasurface for simultaneous quad-mode OAM multiplexing.

Optics express·2026

Same journal

Leveraging two-dimensional materials for high-sensitivity optical sensors: quasi-bound states in the continuum within hybrid metasurfaces.

Optics express·2026

Same journal

Resolution investigation for dual-spherical-wave optical scanning holographic microscopy: methods and performance.

Optics express·2026

Same journal

Robustness of parallel subnetwork-filtered diffractive deep neural networks.

Optics express·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 25, 2025

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Published on: February 18, 2015

Binary hologram compression using context based Bayesian tree models with adaptive spatial segmentation.

Raees Kizhakkumkara Muhamad, Tobias Birnbaum, David Blinder

|October 14, 2022

Summary

This summary is machine-generated.

This study introduces a new method for compressing binary holograms, achieving 12% file size reduction compared to existing standards. This advancement is crucial for enabling high-resolution holographic displays through efficient data handling.

More Related Videos

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

Related Experiment Videos

Last Updated: Aug 25, 2025

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Published on: February 18, 2015

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

Area of Science:

Computer Vision
Digital Imaging
Holography

Background:

Holographic displays demand extremely high resolutions (giga- or terapixels).
Efficient data compression is essential for practical holographic applications.
First-generation holographic displays will likely utilize binary holograms, necessitating specialized compression algorithms.

Purpose of the Study:

To propose an efficient lossless compression strategy for binary holograms.
To enhance adaptive binary arithmetic coding with a context-based Bayesian tree model.
To address the limitations of direct model application on full holograms via adaptive spatial segmentation.

Main Methods:

Utilizing a context-based Bayesian tree model integrated with adaptive binary arithmetic coding.
Implementing a quadtree-based adaptive spatial segmentation strategy for hologram processing.
Evaluating the compression performance against the JBIG2 standard.

Main Results:

The proposed compression strategy achieves significant lossless compression of binary holograms.
Files compressed using the new method are, on average, 12% smaller than those compressed with JBIG2.
The quadtree segmentation effectively handles the scale-dependent characteristics of holograms.

Conclusions:

The developed compression technique is suitable for efficient lossless compression of binary holograms.
This method offers a notable improvement over current binary image codecs like JBIG2.
The approach is vital for the future viability of high-resolution holographic displays.