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

Deconvolution01:20

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...

You might also read

Related Articles

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

Sort by
Same author

Signal Recovery and computational sensing and imaging: introduction to the feature issue.

Applied optics·2010
Same author

A computational method for the restoration of images with an unknown, spatially-varying blur.

Optics express·2009
Same author

Fast and optimal multiframe blind deconvolution algorithm for high-resolution ground-based imaging of space objects.

Applied optics·2008
Same author

Sensing wave-front amplitude and phase with phase diversity.

Applied optics·2002
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: Jun 23, 2026

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography
13:26

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

Blind deconvolution in optical diffusion tomography.

Stuart Jefferies, Kathy Schulze, Charles Matson

    Optics Express
    |May 9, 2009
    PubMed
    Summary
    This summary is machine-generated.

    Blind deconvolution methods reconstruct images from scattered light in turbid media. This technique improves image clarity and determines object depth without prior knowledge, outperforming backpropagation methods.

    More Related Videos

    Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research
    15:18

    Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research

    Published on: January 12, 2013

    Live Images of GLUT4 Protein Trafficking in Mouse Primary Hypothalamic Neurons Using Deconvolution Microscopy
    08:47

    Live Images of GLUT4 Protein Trafficking in Mouse Primary Hypothalamic Neurons Using Deconvolution Microscopy

    Published on: December 7, 2017

    Related Experiment Videos

    Last Updated: Jun 23, 2026

    Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography
    13:26

    Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

    Published on: August 11, 2016

    Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research
    15:18

    Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research

    Published on: January 12, 2013

    Live Images of GLUT4 Protein Trafficking in Mouse Primary Hypothalamic Neurons Using Deconvolution Microscopy
    08:47

    Live Images of GLUT4 Protein Trafficking in Mouse Primary Hypothalamic Neurons Using Deconvolution Microscopy

    Published on: December 7, 2017

    Area of Science:

    • Biomedical optics
    • Image reconstruction
    • Optical diffusion tomography

    Background:

    • Imaging through turbid media is challenging due to light scattering.
    • Conventional methods like backpropagation require prior knowledge of medium properties.

    Purpose of the Study:

    • To apply blind deconvolution for improved image reconstruction in optical diffusion tomography.
    • To simultaneously determine object images and their depths within scattering media.

    Main Methods:

    • Utilized blind deconvolution imaging algorithms with continuous-wave scattered light measurements.
    • Applied the method to reconstruct images of objects embedded in or behind turbid media.

    Main Results:

    • Blind deconvolution yielded superior image reconstructions compared to backpropagation.
    • The method successfully determined both deblurred images and object depths.

    Conclusions:

    • Blind deconvolution offers a significant advancement for imaging in turbid media.
    • This approach eliminates the need for prior knowledge of the scattering medium or target characteristics.