Edge perpendicular binary coding for USM sharpening detection
Document Type
Article
Publication Date
3-3-2015
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.
Identifier
84907967551 (Scopus)
Publication Title
IEEE Signal Processing Letters
External Full Text Location
https://doi.org/10.1109/LSP.2014.2359033
ISSN
10709908
First Page
327
Last Page
331
Issue
3
Volume
22
Grant
61003297
Recommended Citation
Ding, Feng; Zhu, Guopu; Yang, Jianquan; Xie, Jin; and Shi, Yun Qing, "Edge perpendicular binary coding for USM sharpening detection" (2015). Faculty Publications. 7102.
https://digitalcommons.njit.edu/fac_pubs/7102
