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An efficient weak sharpening detection method for image forensics

Author:
Feng Ding  Guopu Zhu  Weiqiang Dong  Yun-Qing Shi  


Journal:
Journal of Visual Communication and Image Representation


Issue Date:
2018


Abstract(summary):

Highlights • Image sharpening detection is one of the main topics in image forensics. • Features of slightly sharpened images are difficult to capture. • Based on EPBC, a ternary coding method with adaptive threshold is proposed. • The proposed method is effective in detecting slightly sharpened images. 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.


Page:
93-93


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