An Image Hided-Data Detection Method Combining Markov Chain and Support Vector Machines

摘要：

An image hided-data detection method is proposed combining 2-D Markov chain model aind Support Vector Machines (SVM) by the paper, in which image pixels are predicted with their neighboring pixels, and the prediction-error image is generated by subtracting the prediction value from the pixel value. Support vector machines are utilized as classifier. As embedding data rate being 0.1 bpp, experimental investigation utilizing spread spectrum (SS) and a Quantization Index Modulation (QIM) method data hiding method respectively, correction detection rates are all above 90％ . For optimum LSB method ,the method achieves a detection rate from 50％ to 90％ above with 0.01bpp-0.3bpp various embedding data rates.

关键词： Data Detection Markov Chain Support Vector Machines Prediction-error

作者: Zhao Huimin Zhu Li

作者单位: College of Electronics and Information, GuangDong Polytechnic Normal University,GuangZhou 510665 Industry Training Center, GuangDong Polytechnic Normal University, GuangZhou 510665

会议类型: 国际会议

会议名称: 4th International Conference on Measuring Technology and Mechatronics Automation(第四届检测技术与机电自动化国际会议 ICMTMA 2012)

会议地点: 三亚

会议语种:英文

页码: 520-524

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）