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 Experiment Video

Updated: Jul 7, 2026

Sample Drift Correction Following 4D Confocal Time-lapse Imaging
10:04

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

Acceleration of iterative image restoration algorithms.

D S Biggs, M Andrews

    Applied Optics
    |March 10, 1997
    PubMed
    Summary

    A novel vector extrapolation method accelerates iterative image restoration algorithms, significantly reducing processing times without compromising image quality. This technique offers substantial speedups for various deconvolution and retrieval algorithms.

    Related Concept Videos

    Reconstruction of Signal using Interpolation01:10

    Reconstruction of Signal using Interpolation

    Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...

    You might also read

    Related Articles

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

    Sort by
    Same author

    Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC.

    The European physical journal. C, Particles and fields·2022
    Same author

    Forecasting extreme stratospheric polar vortex events.

    Nature communications·2020
    Same author

    Dr. Andrews on an Enlarged Lower Extremity.

    The Medical and physical journal·2018
    Same author

    Expression of genes associated with inflammation and iron metabolism in 3T3-L1 cells induced with macrophages-conditioned medium, glucose and iron.

    Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine·2018
    Same author

    Opportunity for interprofessional collaborative care-findings from a sample of federally qualified health center patients in the Midwest.

    Public health·2017
    Same author

    Physical Activity for Patients Wearing Spinal Orthoses.

    The Physician and sportsmedicine·2016

    Area of Science:

    • Image Processing
    • Computational Science

    Background:

    • Iterative algorithms are crucial for image restoration but often suffer from slow convergence.
    • Existing acceleration techniques may introduce artifacts or increase computational complexity.

    Purpose of the Study:

    • To introduce a new acceleration technique for iterative image restoration algorithms.
    • To demonstrate the effectiveness of this method across different image restoration tasks.

    Main Methods:

    • The proposed method utilizes vector extrapolation principles.
    • It does not necessitate the minimization of a cost function.
    • The technique was applied to Richardson-Lucy (R-L) and maximum entropy (ME) deconvolution, and Gerchberg-Saxton algorithms.

    Main Results:

    • Significant reductions in image restoration times were achieved.
    • Minimal image distortion and low computational overhead per iteration were observed.
    • Speedup factors increased with the number of iterations, with R-L achieving 40x and ME achieving 20x speedup.

    Conclusions:

    • The vector extrapolation method provides a highly effective and adaptable approach to accelerate iterative image restoration.
    • This technique offers superior speed and stability compared to existing acceleration methods.
    • The derived expression for estimating the acceleration factor was experimentally validated.

    Related Experiment Videos

    Last Updated: Jul 7, 2026

    Sample Drift Correction Following 4D Confocal Time-lapse Imaging
    10:04

    Sample Drift Correction Following 4D Confocal Time-lapse Imaging

    Published on: April 12, 2014