Image manipulation detection

被引：117

作者：

Bayram, Sevinc ^{[1
]}

Avcibas, Ismail

Sankur, Bulent

Memon, Nasir

机构：

[1] Uludag Univ, Dept Elect Engn, Bursa, Turkey

[2] Bogazici Univ, Dept Elect & Elect Engn, Istanbul, Turkey

[3] Polytech Univ, Dept Comp & Informat Sci, Brooklyn, NY 11201 USA

来源：

JOURNAL OF ELECTRONIC IMAGING | 2006年 / 15卷 / 04期

关键词：

D O I：

10.1117/1.2401138

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Techniques and methodologies for validating the authenticity of digital images and testing for the presence of doctoring and manipulation operations on them has recently attracted attention. We review three categories of forensic features and discuss the design of classifiers between doctored and original images. The performance of classifiers with respect to selected controlled manipulations as well as to uncontrolled manipulations is analyzed. The tools for image manipulation detection are treated under feature fusion and decision fusion scenarios. (c) 2006 SPIE and IS&T

引用

页数：17

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