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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sutcu, Y. Coskun, B. Sencar, H.T. Memon, N. |
| Copyright Year | 2007 |
| Description | Author affiliation: Polytech. univ., Brooklyn (Sutcu, Y.; Coskun, B.) |
| Abstract | Powerful digital media editing tools make producing good quality forgeries very easy for almost anyone. Therefore, proving the authenticity and integrity of digital media becomes increasingly important. In this work, we propose a simple method to detect image tampering operations that involve sharpness/blurriness adjustment. Our approach is based on the assumption that if a digital image undergoes a copy-paste type of forgery, average sharpness/blurriness value of the forged region is expected to be different as compared to the non-tampered parts of the image. The method of estimating sharpness/blurriness value of an image is based on the regularity properties of wavelet transform coefficients which involves measuring the decay of wavelet transform coefficients across scales. Our preliminary results show that the estimated sharpness/blurriness scores can be used to identify tampered areas of the image. |
| File Size | 214694 |
| File Format | |
| ISBN | 9781424414369 |
| ISSN | 15224880 |
| DOI | 10.1109/ICIP.2007.4378975 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-16 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet transforms Digital images Watermarking Robustness Forgery Authentication Image processing Law Statistics Cameras Image Authentication Digital Forensics Regularity Forgery Detection |
| Content Type | Text |
| Resource Type | Article |
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