An efficient weak sharpening detection method for image forensics

Feng Ding, Guopu Zhu, Weiqiang Dong, Yun Qing Shi

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)93-99
Number of pages7
JournalJournal of Visual Communication and Image Representation
Volume50
DOIs
StatePublished - Jan 2018

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Keywords

  • Edge perpendicular binary coding
  • Image forensics
  • Overshoot artifact
  • Sharpening detection
  • Ternary coding

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