Edge perpendicular binary coding for USM sharpening detection

Feng Ding, Guopu Zhu, Jianquan Yang, Jin Xie, Yun Qing Shi

Research output: Contribution to journalArticlepeer-review

44 Scopus citations


Unsharp masking (USM) sharpening is a basic technique for image manipulation and editing. In recent years, the detection of USM sharpening has attracted attention from image forensics point of view. After USM sharpening, overshoot artifacts, which shape image texture, are generated along image edges. By utilizing the special characteristic of the texture modification caused by the USM sharpening, a novel method called edge perpendicular binary coding is proposed in this letter to detect USM sharpening. Extensive experiments have been conducted to show the superiority of the proposed method over the existing methods.

Original languageEnglish (US)
Article number2359033
Pages (from-to)327-331
Number of pages5
JournalIEEE Signal Processing Letters
Issue number3
StatePublished - Mar 3 2015

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics


  • Image forensics
  • Overshoot artifact
  • Sharpening detection
  • Unsharp masking sharpening


Dive into the research topics of 'Edge perpendicular binary coding for USM sharpening detection'. Together they form a unique fingerprint.

Cite this