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 Videos

A recursive algorithm for maximum likelihood-based identification of blur from multiple observations.

A N Rajagopalan, S Chaudhuri

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |February 16, 2008
    PubMed
    Summary
    This summary is machine-generated.

    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

    A Multiscale Inelastic Internal State Variable Corrosion Model.

    Materials (Basel, Switzerland)·2024
    Same author

    Can a shock-induced phonon up-pumping model relate to impact sensitivity of molecular crystals, polymorphs and cocrystals?

    RSC advances·2022
    Same author

    A flexible-molecule force field to model and study hexanitrohexaazaisowurtzitane (CL-20) - polymorphism under extreme conditions.

    RSC advances·2022
    Same author

    Improved predictions of thermomechanical properties of molecular crystals from energy and dispersion corrected DFT.

    The Journal of chemical physics·2021
    Same author

    Deep Dynamic Scene Deblurring for Unconstrained Dual-Lens Cameras.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2021
    Same author

    Half metallicity in Cr substituted Fe<sub>2</sub>TiSn.

    Scientific reports·2021
    Same journal

    Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    BayeTopo: Bayesian-based Topology-guided Learning for Vascular Imaging Segmentation.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    See all related articles

    This study introduces a maximum likelihood method for identifying blur in multiple scene images. The approach provides accurate blur estimation when blurring function relationships are known, using a recursive algorithm for computational efficiency.

    Area of Science:

    • Image processing and computer vision.
    • Signal and image restoration techniques.

    Background:

    • Blur identification is crucial for image deblurring and analysis.
    • Existing methods may struggle with computational complexity for multiple observations.

    Discussion:

    • The proposed maximum likelihood method offers robust blur estimation.
    • Accuracy is high when relationships between blurring functions are known.
    • A recursive algorithm addresses computational challenges with increasing image numbers.

    Key Insights:

    • Effective blur identification from multiple images using maximum likelihood estimation.
    • Recursive computation of the likelihood function enhances scalability.
    • Accurate blur estimation is achievable with known blurring function relationships.

    Related Experiment Videos

    Outlook:

    • Potential applications in image restoration and analysis.
    • Further research could explore adaptive blur identification.
    • The recursive algorithm may be extendable to other complex image processing tasks.