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| 1 | 具有几何不变性的图像复制-粘贴盲鉴别算法显示文摘提出一种具有几何不变性的复制-粘贴盲鉴别算法.该算法首先定义灰度级别和灰度结构,根据像素的灰度级别划分图像块,再结合其灰度结构定位可疑块对;然后对每一组可疑块对进行基于对数极坐标变换的相位相关,并粗略定位篡改区域;最后,精确计算篡改区域之间的旋转角度、缩放尺度及平移量,从而定位复制-粘贴区域.实验结果表明,该算法不但具有旋转、缩放等几何不变性,而且具有较高检测效率及较强的鲁棒性. | 吕颖达 申铉京 陈海鹏 | 2016 | 电子学报2016，44，11： | 6 |
| 2 | Copy-Paste Detection Based on a SIFT Marked Graph Feature Vector显示文摘To detect copy-paste tampering,an improved SIFT(Scale invariant feature transform)-based algorithm was proposed.Maximum angle is defined and a maximum angle-based marked graph is constructed.The marked graph feature vector is provided to each SIFT key point via discrete polar coordinate transformation.Key points are matched to detect the copy-paste tampering regions.The experimental results show that the proposed algorithm can effectively identify and detect the rotated or scaled copy-paste regions,and in comparison with the methods reported previously,it is resistant to postprocessing,such as blurring,Gaussian white noise and JPEG recompression.The proposed algorithm performs better than the existing algorithm to dealing with scaling transformation. | LYU Yingda SHEN Xuanjing CHEN Haipeng | 2017 | Chinese Journal of Electronics2017，26，2： | 6 |
| 3 | 多媒体信息安全研究综述显示文摘信息和网络时代的大环境下,多媒体给人们提供了音视觉享受的同时,也存在着更为严峻的信息安全问题.针对当今主流的多媒体信息安全的典型研究方向,信息隐藏和信息隐藏分析、数字水印、多媒体内容取证、感知哈希和多媒体内容隐私等,首先阐述了各个方向领域的研究背景、总结了其针对性的科学技术问题,解释了典型的概念,然后在介绍和分析研究现状的基础上,给出了当前存在的问题和挑战,最终给出结论和展望. | 孔祥维 王波 李晓龙 | 2015 | 信息安全研究2015，1，1： | 3 |
| 4 | Detecting Photographic Cropping Based on Vanishing Points显示文摘 | MENG Xianzhe NIU Shaozhang YAN Ru LI Yezhou | 2013 | Chinese Journal of Electronics2013，22，2： | 2 |
| 5 | Digital Image Forensics Using Orthogonal 1-D Objects显示文摘The imaging features are shared by all images shot by cameras, the artificial images may break these features. We introduce the image formation model to image forensics. Orthogonal 1-D objects with known scale on either direction are used to estimate the principal point parameter, and the inconsistency of the principal point indicates a forgery. Experiments show that our method can detect cropping and copy-paste efficiently, and it is robust to smoothing, noise and JPEG compression. | NIU Shaozhang MENG Xianzhe CUI Haoliang | 2014 | Chinese Journal of Electronics2014，23，3： | 1 |
| 6 | 基于模式分类的图像区域作伪检测显示文摘为了鉴别一幅数字图像是否存在作伪的区域,提出一种利用改进的图像特征进行区域作伪检测的算法。基于模式分类的思想,该方法把图像分割成适当大小的块,从图像块中提取特征数据,用SVM分类器训练数据并得到支持向量机模型,利用该模型检测嫌疑图片是否存在作伪。该算法从噪声相关性、残差噪声、图像质量、小波域等方面分析相机图片的特点,获取每种的统计特征,形成特征集。实验结果表明,该方法能有效地检测出图像的具体作伪区域。 | 余绍鹏 胡永健 谭莉玲 | 2012 | 计算机工程与设计2012，33，2： | 0 |
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