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

Lapped nonlinear interpolative vector quantization and image super-resolution.

D G Sheppard, K Panchapakesan, A Bilgin

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |February 8, 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

    A Stacked Generalization of 3D Orthogonal Deep Learning Convolutional Neural Networks for Improved Detection of White Matter Hyperintensities in 3D FLAIR Images.

    AJNR. American journal of neuroradiology·2021
    Same author

    Fully Automated Segmentation of Globes for Volume Quantification in CT Images of Orbits using Deep Learning.

    AJNR. American journal of neuroradiology·2020
    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

    Clinical Utility of a Novel Ultrafast T2-Weighted Sequence for Spine Imaging.

    AJNR. American journal of neuroradiology·2018
    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

    This study enhances image restoration using nonlinear interpolative vector quantization (NLIVQ) with lapped blocks. The improved algorithm achieves better image quality and super-resolution, advancing digital image processing techniques.

    Area of Science:

    • Digital Image Processing
    • Signal Processing
    • Computer Vision

    Background:

    • Nonlinear Interpolative Vector Quantization (NLIVQ) is a method for image restoration.
    • Traditional NLIVQ can be computationally intensive and may not achieve optimal results.
    • The discrete cosine transform (DCT) is utilized for codebook design to manage complexity.

    Discussion:

    • This work introduces an improved NLIVQ algorithm incorporating lapped blocks during decoding.
    • The enhanced algorithm is trained using pairs of original and diffraction-limited images.
    • The use of lapped blocks in the decoding stage is the core innovation.

    Key Insights:

    • The improved NLIVQ algorithm demonstrates significant enhancements in observed image quality.
    • Peak signal-to-noise ratio (PSNR) is notably improved compared to the nonlapped version.

    Related Experiment Videos

  • The inherent nonlinearity of the NLIVQ method facilitates achieving super-resolution in restored images.

    • Outlook:

    • Further research could explore adaptive block sizes for NLIVQ.
    • Investigating the application of this enhanced NLIVQ to different types of image degradation is warranted.
    • Potential for real-time image restoration applications using this optimized algorithm.