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

Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

16.0K
Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
16.0K

You might also read

Related Articles

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

Sort by
Same author

Ghost imaging LiDAR via sparsity constraints using push-broom scanning.

Optics express·2019
Same author

Hyperspectral ghost imaging camera based on a flat-field grating.

Optics express·2018
Same author

Spectral Camera based on Ghost Imaging via Sparsity Constraints.

Scientific reports·2016
Same author

Structured image reconstruction for three-dimensional ghost imaging lidar.

Optics express·2015
Same author

Application of multi-correlation-scale measurement matrices in ghost imaging via sparsity constraints.

Applied optics·2014
Same author

Experimental investigation of the quality of ghost imaging via sparsity constraints.

Applied optics·2013
Same journal

Denoising algorithm of Φ-OTDR systems based on adaptive fractional wavelet transform denoising.

Optics express·2026
Same journal

Millisecond photon-to-photon latency and high-speed volumetric projection system for optogenetics.

Optics express·2026
Same journal

Polarization-encoded coaxial structured light for high-precision 3D surface profilometry.

Optics express·2026
Same journal

Discrete freeform optical design based on collaborative optimization of point cloud and local normals.

Optics express·2026
Same journal

Ultrafast ghost imaging with 25 GHz speckle switching and wavelength-division multiplexing.

Optics express·2026
Same journal

Atomic vapor cells fabricated by femtosecond laser welding of standard-optical-quality glass.

Optics express·2026
See all related articles

Related Experiment Video

Updated: Apr 27, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

42.6K

Morphology separation in ghost imaging via sparsity constraint.

Xuyang Xu, Enrong Li, Hong Yu

    Optics Express
    |July 1, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel ghost imaging method using morphology component analysis to separate image components. The technique successfully separates different morphologies and enhances reconstructed image quality.

    More Related Videos

    Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
    10:16

    Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

    Published on: February 8, 2014

    11.5K
    Imaging Dendritic Spines of Rat Primary Hippocampal Neurons using Structured Illumination Microscopy
    14:11

    Imaging Dendritic Spines of Rat Primary Hippocampal Neurons using Structured Illumination Microscopy

    Published on: May 4, 2014

    15.5K

    Related Experiment Videos

    Last Updated: Apr 27, 2026

    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
    13:44

    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

    Published on: August 30, 2013

    42.6K
    Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
    10:16

    Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

    Published on: February 8, 2014

    11.5K
    Imaging Dendritic Spines of Rat Primary Hippocampal Neurons using Structured Illumination Microscopy
    14:11

    Imaging Dendritic Spines of Rat Primary Hippocampal Neurons using Structured Illumination Microscopy

    Published on: May 4, 2014

    15.5K

    Area of Science:

    • Computational imaging
    • Signal processing

    Background:

    • Ghost imaging reconstructs images using limited information.
    • Separating morphological components is crucial for image analysis and enhancement.

    Purpose of the Study:

    • To investigate the separation of morphology components in ghost imaging.
    • To adapt morphology component analysis (MCA) for ghost imaging applications.

    Main Methods:

    • Utilizing MCA based on sparse representation in different bases.
    • Validating the approach with numerical simulations, table-top experiments, and outdoor data.

    Main Results:

    • Demonstrated successful separation of distinct morphology components.
    • Showcased significant improvement in the quality of reconstructed images.

    Conclusions:

    • The adapted MCA technique is effective for ghost imaging.
    • This method enhances image analysis and identification capabilities.