Detecting Doubly Compressed JPEG Images by Factor Histogram
The detection of double compression plays an important role in JPEG image forensics and steganalysis. This paper introduces a new statistic called factor histogram, which describes the distribution of the factors being related to the quantized discrete cosine transform coefficients of JPEG image. Then, two concrete schemes based on factor histogram are presented for detecting doubly compressed images and identifying primary quality factor, respectively. Our experimental results demonstrate that both of the proposed schemes perform well, which validates the applicability of factor histogram in the detection of double compression and the estimation of primary quantization parameter.
Jianquan Yang Guopu Zhu Jiwu Huang
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, GD 518055 School of Information Science and Technology, Sun Yat-sen University, Guangzhou, GD 510275
国际会议
2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)
西安
英文
1-7
2011-10-18（万方平台首次上网日期，不代表论文的发表时间）