The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Robust Detection of Region-Duplication Forgery in Digital Image
Abstract
Region duplication forgery, in which a part of a digital image is copied and then pasted to another portion of the same image in order to conceal an important object in the scene, is one of the common image forgery techniques. In this paper, we describe an efficient and robust algorithm for detecting and localizing this type of malicious tampering. We present experimental results which show that our method is robust and can successfully detect this type of tampering for images that have been subjected to various forms of post region duplication image processing, including blurring, noise contamination, severe lossy compression, and a mixture of these processing operations
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Citations
Cites
Region Filling and Object Removal by Exemplar-Based Image Inpainting
Criminisi, A., Perez, P., & Toyama, K. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2004.833105 · Cited by 3,258 · cited 1×
“Advances in computer vision and computer graphics have made image manipulation more and more sophisticated (see for example [11], [12]), How to detect forgeries using these advanced computer graphics technologies remains an open question.”
BackgroundDetection of Copy-Move Forgery in Digital Images
Fridrich, J. (2004) · Cited by 1,040
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
Exposing digital forgeries in color filter array interpolated images
Popescu, A. C., & Farid, H. (2005) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2005.855406 · Cited by 656
Exposing digital forgeries by detecting traces of resampling
Popescu, A., & Farid, H. (2005) · doi:10.1109/tsp.2004.839932(410 · Cited by 655
Exposing Digital Forgeries by Detecting Duplicated Image Regions
Popescu, A., & Farid, H. (2004) · Cited by 641
Physics-motivated features for distinguishing photographic images and computer graphics
Ng, T.-T., Chang, S.-F., Hsu, J., Xie, L., & Tsui, M.-P. (2005) · Proceedings of the 13th annual ACM international conference on Multimedia · doi:10.1145/1101149.1101192 · Cited by 188
Ng, T.-T., & Chang, S. (2005) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2004.1419512 · Cited by 146
Texture synthesis by fixed neighborhood searching
Levoy, M., & Wei, L. (2001) · Cited by 82
Cited by
A SIFT-Based Forensic Method for Copy–Move Attack Detection and Transformation Recovery
Amerini, I., Ballan, L., Caldelli, R., Del Bimbo, A., & Serra, G. (2011) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2011.2129512 · Cited by 1,044
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
Detection of Copy-Rotate-Move Forgery Using Zernike Moments
Ryu, S.-J., Lee, M.-J., & Lee, H.-K. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-16435-4_5 · Cited by 321
Copy-move forgery detection and localization by means of robust clustering with J-Linkage
Amerini, I., Ballan, L., Caldelli, R., Del Bimbo, A., Del Tongo, L., & Serra, G. (2013) · Signal Processing: Image Communication · doi:10.1016/j.image.2013.03.006 · Cited by 302
Copy–Move Forgery Detection by Matching Triangles of Keypoints
Ardizzone, E., Bruno, A., & Mazzola, G. (2015) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2445742 · Cited by 266
Metadata
- Authors
- Luo, W., Huang, J., & Qiu, G.
- Venue
- 18th International Conference on Pattern Recognition (ICPR'06)
- Publisher
- IEEE
- Published
- 2006
- Pages
- 746-749
- ISSN
- 1041-3278 (ISSN-L)
- OpenAlex
- W2127424286
- Cited by
- 299
- References
- 9
- FWCI
- 4.52
- Type
- conference paper
- Language
- en
- Open access
- closed
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