A straightforward method to assess motion blur for different types of displays
Fuhao Chen, Jun Chen, Feng Huang

TL;DR
This paper introduces a simple, broadly applicable method to measure motion blur across different display types by analyzing the width of moving objects, validated through perceptual experiments and comparisons with existing methods.
Contribution
A new straightforward method for assessing motion blur that is effective across various display technologies, validated by perceptual testing and comparison with simulation-based approaches.
Findings
The proposed method accurately characterizes motion blur across display types.
It correlates well with human perceptual assessments.
It offers a simpler alternative to existing simulation-based methods.
Abstract
A simulation method based on the liquid crystal response and the human visual system is suitable to characterize motion blur for LCDs but not other display types. We propose a more straightforward and widely applicable method to quantify motion blur based on the width of the moving object. We thus compare various types of displays objectively. A perceptual experiment was conducted to validate the proposed method. We test varying motion velocities for nine commercial displays. We compare the three motion blur evaluation methods (simulation, human perception, and our method) using z-scores. Our comparisons indicate that our method accurately characterizes motion blur for various display types.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsImage and Video Quality Assessment · Advanced Vision and Imaging · Advanced Image Processing Techniques
