Image tampering detection using no-reference image quality metrics

摘要：

　　In this paper, a new approach is proposed to determine whether the content of an image is authentic or modified with a focus on detecting complex image tampering.Detecting image tampering without any prior information of the original image is a challenging problem since unknown diverse manipulations may have different characteristics and so do various types of images.Our principle is that image processing, no matter how complex, may affect image quality, so image quality metrics can be used to distinguish tampered images.In particular, based on the alteration of image quality in modified blocks, the proposed method can locate the tampered areas.Referring to four effective no-reference image quality metrics, we obtain 13 features to present an image.The experimental results show that the proposed method is very promising on detecting image tampering and locating the locally tampered areas especially in realistic scenarios.

关键词： image forensics tampering detection no-reference image quality metrics tampering localization

作者: LI Ying WANG Bo KONG Xiangwei GUO Yanqing

作者单位: School of Information and Communication Engineering, Dalian Univ.of Technology, Dalian, 116024, China

会议类型: 国内会议

会议名称: 第十一届全国信息隐藏暨多媒体信息安全学术大会 CIHW2013

会议地点: 西安

会议语种:英文

页码: 285-291

在线出版日期: 2013-10-12（万方平台首次上网日期，不代表论文的发表时间）