Jove
Visualize
Contact Us

Related Experiment Videos

Adaptive image coding using spectral classification.

H Jafarkhani, N Farvardin

    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

    Caries status in 16 year-olds with varying exposure to water fluoridation in Ireland.

    Community dental health·2013
    Same author

    Fast reconstruction of subband-decomposed progressively transmitted signals.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
    Same author

    Comparison of different methods of classification in subband coding of images.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·1997
    Same author

    Three-dimensional subband coding of video.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·1995
    Same author

    A perceptually motivated three-component image model-Part I: description of the model.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·1995
    Same author

    A perceptually motivated three-component image model-part II: applications to image compression.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·1995
    Same journal

    Style-Aware Contrastive Test-Time Adaptation: A Dual-Cache Model for Robust Vision-Language Alignment.

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

    Semantic Frame Interpolation.

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

    Physics-Guided Cross-Modal Decoupling with Test-Time Adaptation for Hyperspectral Image Restoration.

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

    A novel spectral classification method enhances image coding by analyzing image block spectra. This technique offers superior performance over gain-based methods with reduced computational complexity.

    Area of Science:

    • Digital image processing
    • Machine learning for image analysis
    • Signal processing

    Background:

    • Traditional image classification methods often lack efficiency in adaptive coding.
    • Existing gain-based classifiers present limitations in performance and complexity.
    • The need for advanced image block classification is critical for efficient data compression.

    Discussion:

    • The proposed spectral classification scheme leverages spectral characteristics for robust image block categorization.
    • A vector quantizer with a tailored distortion measure is employed for accurate classification.
    • Adaptive image coding serves as a key application demonstrating the classifier's efficacy.

    Key Insights:

    • Spectral classification significantly outperforms conventional gain-based classifiers in image coding tasks.

    Related Experiment Videos

  • The method achieves higher accuracy while demanding less computational resources.
  • This approach offers a more efficient alternative for adaptive image compression.

    • Outlook:

    • Further research can explore the integration of spectral classification into other image processing domains.
    • Optimization of the vector quantizer and distortion measure could yield even greater performance gains.
    • The scheme's potential for real-time applications in video compression warrants investigation.