The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Blind Authentication Using Periodic Properties of Interpolation
Abstract
In this paper, we analyze and analytically describe the specific statistical changes brought into the covariance structure of signal by the interpolation process. We show that interpolated signals and their derivatives contain specific detectable periodic properties. Based on this, we propose a blind, efficient, and automatic method capable of finding traces of resampling and interpolation. The proposed method can be very useful in many areas, especially in image security and authentication. For instance, when two or more images are spliced together, to create high quality and consistent image forgeries, almost always geometric transformations, such as scaling, rotation, or skewing are needed. These procedures are typically based on a resampling and interpolation step. By having a method capable of detecting the traces of resampling, we can significantly reduce the successful usage of such forgeries. Among other points, the presented method is also very useful in estimation of the geometric transformations factors.
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Cites
Cubic splines for image interpolation and digital filtering
Hou, H., & Andrews, H. (1978) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1978.1163154 · Cited by 1,270
Detection of Copy-Move Forgery in Digital Images
Fridrich, J. (2004) · Cited by 1,040
Comparison of Interpolating Methods for Image Resampling
Parker, J. A., Kenyon, R. V., & Troxel, D. E. (1983) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.1983.4307610 · Cited by 829
Exposing digital forgeries by detecting traces of resampling
Popescu, A. C., & Farid, H. (2005) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2004.839932 · Cited by 795
A chronology of interpolation: from ancient astronomy to modern signal and image processing
Meijering, E. (2002) · Proceedings of the IEEE · doi:10.1109/5.993400 · Cited by 662
Exposing digital forgeries by detecting traces of resampling
Popescu, A., & Farid, H. (2005) · doi:10.1109/tsp.2004.839932(410 · Cited by 655
Statistical Tools for Digital Forensics
Popescu, A. C., & Farid, H. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-30114-1_10 · Cited by 447
Detection of copy–move forgery using a method based on blur moment invariants
Mahdian, B., & Saic, S. (2007) · Forensic Science International · doi:10.1016/j.forsciint.2006.11.002 · Cited by 414
Self-citationExposing digital forgeries by detecting inconsistencies in lighting
Johnson, M. K., & Farid, H. (2005) · Proceedings of the 7th workshop on Multimedia and security · doi:10.1145/1073170.1073171 · Cited by 406
A Survey of Watermarking Algorithms for Image Authentication
Rey, C., & Dugelay, J.-L. (2002) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/s1110865702204047 · Cited by 285
Cited by
Exposing DeepFake Videos By Detecting Face Warping Artifacts
Li, Y., & Lyu, S. (2018) · arXiv · doi:10.48550/arxiv.1811.00656 · Cited by 785
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
Metadata
- Authors
- Mahdian, B., & Saic, S.
- Venue
- IEEE Transactions on Information Forensics and Security
- Published
- 2008-09
- Volume
- 3
- Issue
- 3
- Pages
- 529-538
- ISSN
- 1556-6013 (ISSN-L)
- OpenAlex
- W2162156567
- Cited by
- 316
- References
- 12
- FWCI
- 23.87
- Type
- journal article
- Language
- en
- Open access
- closed
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