Towards efficient and scale-robust ultra-high-definition image demoiréing
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Moiré patterns severely degrade the visual quality of captured photos and videos.
“frequency aliasing between the camera's color filter array (CFA) and the display's sub-pixels induces moir´ e patterns that severely degrade captured photos and videos.”
From MoCHA-former: Moiré-Conditioned Hybrid Adaptive Transformer for Video Demoiréing (2026) · cites this paper as [3]
Moiré patterns in camera-based screen capture are mainly caused by frequency aliasing between the camera's color filter array (CFA) and the display's sub-pixel structure.
“These moir´ e artifacts are mainly caused by frequency aliasing between the camera's color filter array (CFA) and the sub-pixel structure of the screen [1, 2, 3, 4, 5, 6].”
From MoCHA-former: Moiré-Conditioned Hybrid Adaptive Transformer for Video Demoiréing (2026) · cites this paper as [3]
The citation lists haven’t been fetched yet
References 45 · Cited by 93
- Authors
- Yu, X., Dai, P., Li, W., Ma, L., Shen, J., Li, J., & Qi, X.
- Affiliations
- University of Hong Kong (HK)
- Chinese University of Hong Kong (HK)
- Sun Yat-sen University (CN)
- Corresponding author
- Qi, Xiaojuan
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Switzerland
- Published
- 2022
- Pages
- 646-662
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W4312695952
- Cited by
- 93
- References
- 45
- Citations by year
- 2026: 20 · 2025: 38 · 2024: 24 · 2023: 9 · 2022: 2
- FWCI
- 6.46
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image Processing Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Enhancement Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Signal Denoising Methods
- Keywords
- ultra-high-definition images, lightweight neural networks, semantic alignment, smartphone images
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