The DOI matches its Crossref record.
Demosaicking: color filter array interpolation
Abstract
The author begins by discussing the image formation process. The demosaicking methods are examined in three groups: the first group consists of heuristic approaches. The second group formulates demosaicking as a restoration problem. The third group is a generalization that uses the spectral filtering model given in Wandell.
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Citations
Cited by
Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
Stallkamp, J., Schlipsing, M., Salmen, J., & Igel, C. (2012) · Neural Networks · doi:10.1016/j.neunet.2012.02.016 · Cited by 1,537
Color image processing pipeline
Ramanath, R., Snyder, W. E., Yoo, Y., & Drew, M. S. (2005) · IEEE Signal Processing Magazine · doi:10.1109/msp.2005.1407713 · Cited by 369
Vector filtering for color imaging
Lukac, R., Smolka, B., Martin, K., Plataniotis, K. N., & Venetsanopoulos, A. N. (2005) · IEEE Signal Processing Magazine · doi:10.1109/msp.2005.1407717 · Cited by 334
Joint demosaicing and denoising
Hirakawa, K., & Parks, T. W. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.875241 · Cited by 138
(2022) · doi:10.1145/3495243.3560537 · Cited by 17
Metadata
- Authors
- Gunturk, B. K., Glotzbach, J., Altunbasak, Y., Schafer, R. W., & Mersereau, R. M.
- Venue
- IEEE Signal Processing Magazine
- Published
- 2005-01
- Volume
- 22
- Issue
- 1
- Pages
- 44-54
- ISSN
- 1053-5888 (ISSN-L)
- OpenAlex
- W2106111212
- Cited by
- 582
- References
- 0
- FWCI
- 46.67
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Demosaicking: color filter array interpolation. https://app.cochat.ai/papers/10.1109/msp.2005.1407714
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- Gunturk, B. K., Glotzbach, J., Altunbasak, Y., Schafer, R. W., & Mersereau, R. M. (2005). Demosaicking: color filter array interpolation. IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2005.1407714
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
