Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6938354 | Journal of Visual Communication and Image Representation | 2018 | 7 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Feng Ding, Guopu Zhu, Weiqiang Dong, Yun-Qing Shi,