The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
On detection of median filtering in digital images
Abstract
In digital image forensics, it is generally accepted that intentional manipulations of the image content are most critical and hence numerous forensic methods focus on the detection of such 'malicious' post-processing. However, it is also beneficial to know as much as possible about the general processing history of an image, including content-preserving operations, since they can affect the reliability of forensic methods in various ways. In this paper, we present a simple yet effective technique to detect median filtering in digital images-a widely used denoising and smoothing operator. As a great variety of forensic methods relies on some kind of a linearity assumption, a detection of non-linear median filtering is of particular interest. The effectiveness of our method is backed with experimental evidence on a large image database.
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Cites
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Steganalysis by subtractive pixel adjacency matrix
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Self-citationExposing digital forgeries by detecting traces of resampling
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Self-citationThe Effect of Median Filtering on Edge Estimation and Detection
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Revisiting weighted stego-image steganalysis
Ker, A. D., & Böhme, R. (2008) · SPIE Proceedings · doi:10.1117/12.766820 · Cited by 176
Streaking in median filtered images
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Overview of State-of-the-Art in Digital Image Forensics
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Cited by
A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer
Bayar, B., & Stamm, M. C. (2016) · Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security · doi:10.1145/2909827.2930786 · Cited by 838
Bayar, B., & Stamm, M. C. (2018) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2018.2825953 · Cited by 599
Noiseprint: A CNN-Based Camera Model Fingerprint
Cozzolino, D., & Verdoliva, L. (2020) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2019.2916364 · Cited by 499
Median Filtering Forensics Based on Convolutional Neural Networks
Chen, J., Kang, X., Liu, Y., & Wang, Z. J. (2015) · IEEE Signal Processing Letters · doi:10.1109/lsp.2015.2438008 · Cited by 425
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
- Kirchner, M., & Fridrich, J.
- Venue
- SPIE Proceedings
- Publisher
- SPIE
- Published
- 2010-02-04
- Volume
- 7541
- Pages
- 754110
- ISSN
- 0277-786X (ISSN-L)
- OpenAlex
- W2019716459
- Cited by
- 278
- References
- 12
- FWCI
- 9.35
- Type
- conference paper
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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