The DOI matches its Crossref record.
Suppression of moiré patterns via spectral analysis
Abstract
In this paper we focus on the detection of moire patterns, which may appear during film-to-video transfer using Telecine devices. A model of moire distortion is created and studied. A new suppression algorithm using the spectral model is presented and applied for real video sequences. The non-linear filter is based on analysis of the magnitude of the Fourier spectrum of the image. As an alternative, an algorithm using parametric identification of the moire patterns is investigated. It is found that spectral domain manipulation gives the best results.
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Cited by
MoCHA-former: Moiré-Conditioned Hybrid Adaptive Transformer for Video Demoiréing
Sung, J., Roh, C., Eom, C., & Oh, J. (2026) · Neurocomputing · doi:10.1016/j.neucom.2025.132477
Metadata
- Authors
- Sidorov, D. N., & Kokaram, A. C.
- Affiliations
- Trinity College Dublin (IE)
- Venue
- SPIE Proceedings
- Publisher
- SPIE
- Published
- 2002-01-07
- Volume
- 4671
- Pages
- 895
- ISSN
- 0277-786X (ISSN-L)
- OpenAlex
- W2010308746
- Cited by
- 37
- References
- 0
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 4 · 2023: 1 · 2022: 3 · 2021: 1 · 2020: 5 · 2019: 2 · 2018: 3 · 2017: 2 · 2016: 2 · 2015: 1 · 2012: 1
- FWCI
- 0.60
- Type
- conference paper
- Language
- de
- Open access
- closed
- Locations
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image Processing Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Signal Denoising Methods
- Keywords
- moiré patterns, telecine, spectral analysis, Fourier spectrum, nonlinear filtering, parameter estimation, video sequences
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