现代电子技术2016，Vol.39Issue(7)：83-88,6.DOI:10.16652/j.issn.1004-373x.2016.07.021
精细化自动检测篡改区域的数字图像取证方法
Digital image forensics method to refinedly and automatically detect tampering area
摘要
Abstract
Most of the existing tampering detection methods are sensitive to the geometric transformation detection of the tampering area,for this problem,a digital image forensics method of using feature image blocks to detect the tampering area re⁃finedly and automatically is proposed. This method is suitable for area reflection,rotation and scaling,and JPEG compression and positioning. The pixels of the repeat area are mapped to the log⁃polar,and then along the axis,the invariant one⁃dimensional descriptors are generated by reflection and rotation. Each single block is used to extract the feature vectors to reduce the compu⁃tation time of each stage. After that the repeat area after geometric transformation is copied with a refined stage. The blocks whose size are 24×24 and 32×32 are detected with experiments. The positioning results obtained from the two situation show that the test can lead to high true positive rate while causing low false positive rate. The tampered and non⁃tampered images were de⁃tected with experiments. The experimental results show that,in comparison with other algorithms,the proposed algorithm has high tampering positioning accuracy and low false match rate of the image after geometric transformation.关键词
篡改检测/几何变换/精细化/数字图像/计算机取证/一维不变描述符Key words
tampering detection/geometric transformation/refinement/digital image/computer forensics/invariant one-di-mensional descriptor分类
信息技术与安全科学引用本文复制引用
贺一峰,赵旭东,亚森·艾则孜..精细化自动检测篡改区域的数字图像取证方法[J].现代电子技术,2016,39(7):83-88,6.基金项目
国家社会科学基金科研项目（13CFX055）；新疆维吾尔自治区自然科学基金科研项目（2015211A016）；新疆维吾尔自治区高校科研计划科学研究重点项目 （）
