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

Blur identification from vector quantizer encoder distortion.

K Panchapakesan, D G Sheppard, M W Marcellin

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |February 6, 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

    Peripheral blood marker of residual acute leukemia after hematopoietic cell transplantation using multi-plex digital droplet PCR.

    Frontiers in immunology·2022
    Same author

    Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics.

    Neural networks : the official journal of the International Neural Network Society·2020
    Same author

    Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer.

    Artificial intelligence in medicine·2018
    Same author

    Temperature measurements of shocked silica aerogel foam.

    Physical review. E, Statistical, nonlinear, and soft matter physics·2014
    Same author

    Signal-detection tradeoff-analysis of optical vs digital Fourier transform computers.

    Applied optics·2010
    Same author

    Comparison of image restoration methods.

    Applied optics·2010
    Same journal

    Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

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

    AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

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

    BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

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

    GoP-based Quality Enhancement on Video Compression.

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

    Align Then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

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

    Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

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

    This study introduces a novel method for image blur identification using vector quantizer encoder distortion. The technique accurately estimates blur by comparing an image against trained codebooks, even in low signal-to-noise ratio conditions.

    Area of Science:

    • Computer Vision
    • Image Processing
    • Machine Learning

    Background:

    • Blur identification is essential for image restoration.
    • Existing methods may lack robustness in noisy conditions.

    Discussion:

    • The proposed method utilizes vector quantization (VQ) and encoder distortion for blur estimation.
    • It requires training data for each candidate blur function to build VQ codebooks.

    Key Insights:

    • The approach identifies blur by selecting the candidate blur function yielding the minimum encoder distortion.
    • Performance remains strong even at a signal-to-noise ratio (SNR) of 10 dB.

    Outlook:

    • This technique offers a robust solution for blur identification in degraded images.

    Related Experiment Videos

  • Further research could explore its application in real-time image restoration systems.