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

28 Scopus citations

Abstract

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
Volume22
Issue number3
DOIs
StatePublished - Mar 3 2015

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Keywords

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

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