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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kakar, P. Sudha, N. |
| Copyright Year | 2011 |
| Description | Author affiliation: Institute for Media Innovation, Nanyang Technological University, Singapore 637553 (Kakar, P.; Sudha, N.) |
| Abstract | Image manipulation has become commonplace with growing easy access to powerful computing abilities. One of the most common types of image forgeries is the copy-paste forgery, wherein a region from an image is replaced with another region from the same image (with possible transformations). A brute-force approach to finding identical regions suffers from many problems, including inability to detect transformed regions. In this paper, we propose a novel technique based on transform-invariant features. These are obtained by adapting the MPEG-7 image signature tools to specifically deal with copy-paste forgeries. Results are provided to justify the application of these tools in copy-paste forgery detection. |
| Starting Page | 58 |
| Ending Page | 61 |
| File Size | 241941 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781612848433 |
| ISSN | 21591423 |
| e-ISBN | 9781612848426 |
| DOI | 10.1109/ISCE.2011.5973783 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-14 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Forgery Feature extraction Transforms Transform coding ISO standards Robustness IEC standards image forensics Copy-paste forgeries MPEG-7 |
| Content Type | Text |
| Resource Type | Article |
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