| Paper: | MA-P5.4 |
| Session: | Security I: Authentication and Steganography |
| Time: | Monday, September 17, 09:50 - 12:30 |
| Presentation: |
Poster
|
| Title: |
TAMPER DETECTION BASED ON REGULARITY OF WAVELET TRANSFORM COEFFICIENTS |
| Authors: |
Yagiz Sutcu; Polytechnic University | | |
| | Baris Coskun; Polytechnic University | | |
| | Husrev Taha Sencar; Polytechnic University | | |
| | Nasir Memon; Polytechnic University | | |
| 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/bluriness 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/bluriness 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/bluriness scores can be used to identify tampered areas of the image. |
