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

LCD motion blur reduction: a signal processing approach.

Shay Har-Noy1, Truong Q Nguyen

  • 1Video Processing Laboratory, University of California-San Diego, La Jolla, CA 92093, USA. sharnoy@ucsd.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 14, 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

OCTA-based AMD Stage Grading Enhancement via Class-Conditioned Style Transfer.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Efficient In-Training Adaptive Compound Loss Function Contribution Control for Medical Image Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Profile of snakebite cases admitted to the Poison Control Center of Bach Mai Hospital in northern Vietnam from 2008 to 2020.

Transactions of the Royal Society of Tropical Medicine and Hygiene·2025
Same author

Retinal OCT Layer Segmentation via Joint Motion Correction and Graph-Assisted 3D Neural Network.

IEEE access : practical innovations, open solutions·2024
Same author

Enhancing lesion detection in liver and kidney CT scans via lesion mask selection from two models: A main model and a model focused on small lesions.

Computers in biology and medicine·2024
Same author

TigerBase: A DNA registration system to enhance enforcement and compliance testing of captive tiger facilities.

Forensic science international. Genetics·2024
Same journal

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

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

This study introduces a new method to reduce motion blur in Liquid Crystal Displays (LCDs) using deconvolution and motion vectors. Perceptual tests confirm a significant reduction in visible motion blur for viewers.

Area of Science:

  • Display Technology
  • Image Processing
  • Perception Science

Background:

  • Liquid Crystal Displays (LCDs) are widely used in consumer electronics.
  • The sample-and-hold nature of LCDs causes motion blur, degrading visual experience.
  • Existing methods for motion blur reduction are often insufficient for LCDs.

Purpose of the Study:

  • To develop an effective motion blur reduction method for LCDs.
  • To enhance visual quality by minimizing motion blur artifacts.
  • To analyze the impact of motion vector accuracy on deblurring performance.

Main Methods:

  • Implemented Richardson-Lucy deconvolution algorithm.
  • Integrated scene motion vector information for targeted deblurring.
  • Introduced a perceptual significance metric to prioritize processing.

Related Experiment Videos

  • Analyzed the effect of motion vector errors on image quality.

    • Main Results:

    • The developed algorithm successfully reduces perceivable motion blur in LCDs.
    • Perceptual tests validated the effectiveness of the motion blur reduction technique.
    • The perceptual significance metric improved processing efficiency and visual outcome.

    Conclusions:

    • The proposed method offers a viable solution for mitigating motion blur in LCDs.
    • Motion vector accuracy is a critical factor influencing deblurring results.
    • This approach enhances the viewing experience on LCD panels.