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

Toxicophore-informed machine learning integrating Tox21 assay readouts for organ system-specific carcinogenicity prediction.

Environmental pollution (Barking, Essex : 1987)·2025

Same author

Meta-Analysis and Machine Learning Prediction of Protein Corona Composition across Nanoparticle Systems in Biological Media.

ACS nano·2025

Same author

Biomarker-Based Risk Assessment Strategy for Long COVID: Leveraging Spike Protein and Proinflammatory Mediators to Inform Broader Postinfection Sequelae.

Viruses·2025

Same author

Regional and population-scale trends in human inhalation exposure to airborne microplastics: Implications for health risk assessment.

Environmental pollution (Barking, Essex : 1987)·2025

Same author

A Regional-Scale Assessment-Based SARS-CoV-2 Variants Control Modeling with Implications for Infection Risk Characterization.

Infection and drug resistance·2024

Same author

A physiologically based toxicokinetic model for microplastics and nanoplastics in mice after oral exposure and its implications for human dietary exposure assessment.

Journal of hazardous materials·2024

Search research articles

Related Experiment Video

Updated: Jun 26, 2026

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Low-complexity pixel detection for images with misalignment and interpixel interference in holographic data storage.

Chi-Yun Chen¹, Chih-Cheng Fu, Tzi-Dar Chiueh

¹Graduate Institute of Electronics Engineering and Department of Electrical Engineering, National Taiwan University, Taipei 10617, Taiwan.

|December 24, 2008

Summary

This summary is machine-generated.

This study introduces an efficient method to recover image data pixels affected by optical and electrical channel impairments in holographic data storage. The techniques significantly reduce computational complexity for misalignment compensation and pixel detection.

More Related Videos

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

Published on: July 5, 2016

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy (DHM)

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy (DHM)

Published on: November 1, 2017

Related Experiment Videos

Last Updated: Jun 26, 2026

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

Published on: July 5, 2016

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy (DHM)

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy (DHM)

Published on: November 1, 2017

Area of Science:

Optical data storage
Image processing
Signal processing

Background:

Holographic data storage systems face challenges from optical and electrical channel impairments.
Interpixel interference, misalignment, and noise degrade data recovery accuracy.

Purpose of the Study:

To develop an efficient solution for recovering image data pixels in holographic storage systems.
To address channel impairments including interpixel interference, misalignment, and noise.

Main Methods:

A misalignment-compensation scheme involving realignment and rate conversion was proposed.
Low-complexity techniques were introduced to optimize a 2D maximum a posteriori pixel detection method.

Main Results:

The misalignment-compensation scheme achieved over 84% reduction in additions and 74% in multiplications.
Complexity of the pixel detection method was reduced by up to 95% with negligible performance loss.

Conclusions:

The proposed methods offer an efficient and effective solution for data recovery in holographic storage.
Significant computational savings are achieved without compromising detection performance.