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

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.

You might also read

Related Articles

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

Sort by
Same author

Digitally encoded dual-narrowband photodetectors for secure optical wireless communication.

Nature communications·2026
Same author

Single-source full-duplex UWOC system using a Bessel beam in bubble-disturbed channels.

Applied optics·2026
Same author

Photonic-waveguide-enabled femtosecond dissipative solitons in mode-locked lasers.

Optics letters·2026
Same author

Robust and efficient image transmission in power-constrained underwater visible light communication systems using neural architecture search.

Scientific reports·2025
Same author

Organic Bulk-Heterojunction-Integrated Flexible Perovskite Photodetection Arrays for High-Speed Broadband Optical Communication.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Wide field-of-view single-sourced full-duplex underwater wireless optical communication system using a digital micromirror device projector and camera.

Optics letters·2025

Related Experiment Video

Updated: May 8, 2026

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

9.9K

Underwater computational ghost imaging LiDAR for multi-target detection with a super-low sampling ratio.

Annan Xia, Qingyang Zhu, Yi Hao

    Applied Optics
    |March 17, 2026
    PubMed
    Summary

    This study introduces a new wavelet transform-based Hadamard ordering for underwater computational ghost imaging (UCGI) LiDAR systems. This method significantly improves imaging performance and ranging accuracy in turbid waters, even at low sampling rates.

    More Related Videos

    Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
    13:35

    Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

    Published on: June 13, 2025

    1.7K
    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
    09:19

    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

    Published on: April 18, 2025

    1.6K

    Related Experiment Videos

    Last Updated: May 8, 2026

    Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
    09:32

    Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

    Published on: November 20, 2017

    9.9K
    Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
    13:35

    Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

    Published on: June 13, 2025

    1.7K
    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
    09:19

    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

    Published on: April 18, 2025

    1.6K

    Area of Science:

    • Optics and Photonics
    • Computational Imaging
    • Oceanographic Technology

    Background:

    • Traditional underwater imaging systems struggle with low sampling ratios and turbid water conditions, leading to image elongation and reduced performance.
    • Computational ghost imaging (CGI) offers a potential solution but requires efficient modulation pattern strategies for practical applications.

    Purpose of the Study:

    • To introduce and evaluate a novel wavelet transform-based Hadamard (WTH) ordering for underwater computational ghost imaging (UCGI) light detection and ranging (LiDAR) systems.
    • To demonstrate the WTH ordering's ability to overcome limitations of traditional methods in terms of image quality and multi-target detection in challenging underwater environments.

    Main Methods:

    • Development of a novel wavelet transform-based Hadamard (WTH) ordering for modulation pattern selection in UCGI.
    • Implementation of the WTH-ordered UCGI-LiDAR system for imaging and ranging experiments in simulated turbid water (Jerlov 9C).
    • Comparative analysis of WTH ordering against traditional Sylvester Hadamard ordering using metrics like mean squared error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM).

    Main Results:

    • The WTH ordering achieves balanced information capture, mitigating image elongation issues common in traditional methods at low sampling ratios.
    • In 10% sampling ratio conditions in Jerlov 9C water, WTH resulted in a 97.58% MSE reduction, 55.24% PSNR increase, and 528.92% SSIM enhancement compared to Sylvester Hadamard ordering.
    • The system demonstrated ranging precision and accuracy exceeding 3.90 mm and 6.40 mm, respectively.

    Conclusions:

    • The WTH ordering provides a significant advancement for UCGI-LiDAR systems, enabling high-quality imaging and precise ranging in highly turbid underwater conditions.
    • This novel approach offers a robust solution for high-speed imaging and ranging in dynamic underwater environments, overcoming previous limitations.
    • WTH ordering is a promising technique for applications requiring efficient data acquisition and reliable performance in challenging aquatic settings.