Blind CFA Interpolation Detection Based on The Entropy

摘要：

　　Blind CFA interpolation detection,which identifies the demosaicing method used in digital camera by analyzing output images,provides many efficient tools for digital image forensics.In this paper,we proposes an approach of blind CFA interpolation detection based on the entropy of the correlative coefficients.By solving the pixel matrix equation,the CFA interpolation coefficients are calculated and the entropy of the coefficients are obtained,and they are further fed to SVM classifier to identify forgery.The experimental results show a high accuracy on blind CFA interpolation detection.Compared with existing ones,the proposed method in this paper indicates a better performance on the robnstness especially against lossy JPEG compression.

关键词： Digital image forensics Color Filter Array(CFA) interpolation Entropy Support Vector Machine(SVM)

作者: Pan Xiaozhong Xie Jian

作者单位: Department of Electronic TechnologyEngineering University of Armed Police Force, Xian, China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 787-791

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）