Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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

Enhancing light efficiency in phase-only holograms via neural network.

Scientific reports·2025
Same author

Spatial incoherence-driven optical reconstruction of holograms with observer shift-invariance.

Light, science & applications·2025
Same author

Direct amplitude-only hologram realized by broken symmetry.

Science advances·2024
Same author

Deep learning-based incoherent holographic camera enabling acquisition of real-world holograms for holographic streaming system.

Nature communications·2023
Same author

Diffraction-engineered holography: Beyond the depth representation limit of holographic displays.

Nature communications·2022
Same author

Observation of scalable sub-Poissonian-field lasing in a microlaser.

Scientific reports·2019

Related Experiment Video

Updated: Jul 9, 2025

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
08:39

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

9.8K

Enhancing efficiency of complex field encoding for amplitude-only spatial light modulator based on a neural network.

Daeho Yang

    Optics Express
    |December 2, 2023
    PubMed
    Summary

    Artificial neural networks enhance hologram efficiency. This study introduces neural encoding for amplitude-only spatial light modulators (SLMs), achieving a 2.4x efficiency boost with improved image quality.

    More Related Videos

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    9.9K
    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    559

    Related Experiment Videos

    Last Updated: Jul 9, 2025

    Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
    08:39

    Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

    Published on: January 28, 2019

    9.8K
    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    9.9K
    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    559

    Area of Science:

    • Optics
    • Computer Science
    • Holography

    Background:

    • Artificial neural networks (ANNs) are widely used in hologram synthesis for improved image quality and reduced computational load.
    • Conventional amplitude-only holograms suffer from low optical efficiency, limiting their practical applications.

    Purpose of the Study:

    • To explore a novel application of ANNs for enhancing the optical efficiency of complex field encoding in holography.
    • To evaluate the performance of neural encoding against traditional methods like Burch encoding.

    Main Methods:

    • Development and implementation of a neural encoding method utilizing ANNs for complex field encoding.
    • Experimental validation of the proposed method using amplitude-only spatial light modulators (SLMs).
    • Comparison of optical efficiency and image quality metrics (e.g., peak signal-to-noise ratio) against the Burch encoding method.

    Main Results:

    • Neural encoding achieved a 2.4-fold increase in optical efficiency for amplitude-only SLMs.
    • Negligible degradation in image quality was observed compared to the Burch encoding method.
    • Experimental results showed an approximate 2.5 dB enhancement in peak signal-to-noise ratio, indicating superior image quality.

    Conclusions:

    • Neural encoding offers a promising solution to overcome the low optical efficiency challenge in conventional amplitude-only holograms.
    • The proposed ANN-based method significantly improves both optical efficiency and image quality, making it a viable alternative for holographic applications.