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Image tamper detection based on demosaicing artifacts
Abstract
In this paper, we introduce tamper detection techniques based on artifacts created by color filter array (CFA) processing in most digital cameras. The techniques are based on computing a single feature and a simple threshold based classifier. The efficacy of the approach was tested over thousands of authentic, tampered, and computer generated images. Experimental results demonstrate reasonably low error rates.
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Cited by
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Verdoliva, L. (2020) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2020.3002101 · Cited by 979
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Cozzolino, D., & Verdoliva, L. (2020) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2019.2916364 · Cited by 499
Information Forensics: An Overview of the First Decade
Stamm, M. C., Wu, M., & Liu, K. J. R. (2013) · IEEE Access · doi:10.1109/access.2013.2260814 · Cited by 394
BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection
Jeong, Y., Kim, D., Min, S., Joe, S., Gwon, Y., & Choi, J. (2022) · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · doi:10.1109/wacv51458.2022.00293 · Cited by 106
Metadata
- Authors
- Dirik, A. E., & Memon, N.
- Venue
- 2009 16th IEEE International Conference on Image Processing (ICIP)
- Publisher
- IEEE
- Published
- 2009-11
- Pages
- 1497-1500
- ISSN
- 1522-4880 (ISSN-L)
- OpenAlex
- W2111374353
- Cited by
- 181
- References
- 0
- FWCI
- 7.91
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Image tamper detection based on demosaicing artifacts. https://app.cochat.ai/papers/10.1109/icip.2009.5414611
- The paper
- Dirik, A. E., & Memon, N. (2009). Image tamper detection based on demosaicing artifacts. 2009 16th IEEE International Conference on Image Processing (ICIP). https://doi.org/10.1109/icip.2009.5414611
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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.
