Anti-Forensics for Unsharp Masking Sharpening in Digital Images

被引：15

作者：

Lu Laijie ^{[1
]}

Yang Gaobo ^{[1
]}

Xia Ming ^{[1
,2
]}

机构：

[1] Hunan Univ, Sch Informat Sci & Engn, Changsha, Hunan, Peoples R China

[2] Southwest Univ Nationalities, Coll Elect & Informat Engn, Chengdu, Sichuan, Peoples R China

来源：

INTERNATIONAL JOURNAL OF DIGITAL CRIME AND FORENSICS | 2013年 / 5卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Anti-Forensics; Anti-Forensic Dither; Image Forensics; Overshoot Artifacts; Sharpening Detection;

D O I：

10.4018/jdcf.2013070104

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

As a retouching tool, image sharpening can be applied as the final step to hide those possible forgery operations in an image. Unsharp masking (USM) is a popular sharpening method supported by most image editing software such as Adobe Photoshop. Several passive forensics methods have been presented for the detection of USM Sharpening. In this paper, an anti-forensic scheme for USM Sharpening is proposed to invalidate the existing forensic algorithms. It removes the overshoot artifacts in image edges and abrupt change in histogram ends. The effectiveness of the proposed method is proved by the experimental results on a large image database with various parameter settings. Comparisons are made among the unsharpened images, the sharpened images and the anti-forensic dithered image. Both the detection ability and image quality are used for its performance evaluation.

引用

页码：53 / 65

页数：13

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