首页 | 本学科首页   官方微博 | 高级检索  
     

基于LOCP特征的JPEG2000二次压缩检测
引用本文:周超,徐赛赛,黄豫蕾,赖骏尧. 基于LOCP特征的JPEG2000二次压缩检测[J]. 信息安全与通信保密, 2014, 0(11): 97-100
作者姓名:周超  徐赛赛  黄豫蕾  赖骏尧
作者单位:1. 上海市公安局,上海,200025
2. 上海数据分析与处理技术研究所,上海,201112
3. 上海交通大学信息安全工程学院,上海,200240
摘    要:JPEG2000二次压缩检测,即对图片进行二次JPEG2000压缩的检测,对于分析图像篡改、隐写等有重要价值。文中分析了现有的JPEG2000二次压缩检测算法的优势,结合LOCP特征,提出了一种改进的JPEG2000二次压缩检测算法。该算法对对象图片的高频成分提取LOCP特征,并用支持向量机SVM分类器进行训练和检测。在哥伦比亚大学篡改检测图像数据集上的实验显示,提出的JPEG2000二次压缩检测算法较原有算法有较大提升,并获得了TODO的检测率。

关 键 词:JPEG2000  二次压缩检测  LOCP特征  SVM分类器

JPEG2000 Secondary-Compression Detection based on LOCP Feature
ZHOU Chao,XU Sai-sai,HUANG Yu-lei,LAI Jun-yao. JPEG2000 Secondary-Compression Detection based on LOCP Feature[J]. China Information Security, 2014, 0(11): 97-100
Authors:ZHOU Chao  XU Sai-sai  HUANG Yu-lei  LAI Jun-yao
Affiliation:ZHOU Chao ,XU Sai-sai , HUANG Yu-lei, LAI Jun-yao ( 1 Shanghai Public Security Bureau, Shanghai 200025, China; 2Shanghai Institute of Data Analysis and Processing Technology, Shanghai 201112, China; 3School of Information Security Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
Abstract:The detection of secondary-compression in JPEG2000 means JPEG2000 secondary-compression detection of image, and it is fairly valuable in image forgery analysis and steganalysis. This paper analyzes superiorities of the existing JEPG2000 secondary-compression detection algorithms, and by integrating LOCP feature, proposes a modified detection algorithm of JPEG2000 secondary-compression. The proposed algorithm extracts LOCP feature of high-frequency component of target image, and it adopts SVM ( support vector machine) classifier to realize training and detecting. Experiment on image falsification detection dataset at Columbia University shows that this algorithm enjoys great improvements and acquires detection accuracy of TODO.
Keywords:JPEG2000  secondary-compression detection  LOCP feature  SVM classifier
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号