Bibliographic Details
| Title: |
An efficient weak sharpening detection method for image forensics. |
| Authors: |
Ding, Feng1 fd26@njit.edu, Zhu, Guopu2,3 gp.zhu@siat.ac.cn, Dong, Weiqiang1 wd35@njit.edu, Shi, Yun-Qing1 shi@njit.edu |
| Source: |
Journal of Visual Communication & Image Representation. Jan2018, Vol. 50, p93-99. 7p. |
| Subjects: |
Statistical methods in image analysis, Forensic sciences, Ternary codes, Image analysis software, Binary codes |
| Abstract: |
In recent years, image sharpening detection has become one of the main topics in the field of image forensics. It is, however, still a challenge to detect the images sharpened with weak sharpening strength. To address this challenge, we propose an efficient method for image sharpening detection. In the proposed method, a ternary coding strategy with adaptive threshold is introduced to reveal the overshoot artifacts caused by weak sharpening. Extensive experiments are conducted to illustrate the superiority of the proposed method. The experimental results show that the proposed method can achieve a considerable improvement in sharpening detection, especially for slightly sharpened images. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
