JPEG image steganography payload location based on optimal estimation of cover co-frequency sub-image

EURASIP Journal on Image and Video Processing

Yuemeng Lian¹  Yuan Liu²  Xiaofeng Song³  Ma Zhu⁴  Chunfang Yang⁴  Jie Wang⁴ 

[1] Henan Huizhi Scientific & Technical Development Co., Ltd;Huanghe S & T University;School of Information and Communication, National University of Defense Technology;Zhengzhou Science and Technology Institute;

关键词: Steganography;    JPEG image;    Payload location;    Cover estimation;   

DOI  :  10.1186/s13640-020-00542-2

来源: DOAJ

【 摘 要 】

Abstract The excellent cover estimation is very important to the payload location of JPEG image steganography. But it is still hard to exactly estimate the quantized DCT coefficients in cover JPEG image. Therefore, this paper proposes a JPEG image steganography payload location method based on optimal estimation of cover co-frequency sub-image, which estimates the cover JPEG image based on the Markov model of co-frequency sub-image. The proposed method combines the coefficients of the same position in each 8 × 8 block in the JPEG image to obtain 64 co-frequency sub-images and then uses the maximum a posterior (MAP) probability algorithm to find the optimal estimations of cover co-frequency sub-images by the Markov model. Then, the residual of each DCT coefficient is obtained by computing the absolute difference between it and the estimated cover version of it, and the average residual over coefficients in the same position of multiple stego images embedded along the same path is used to estimate the stego position. The experimental results show that the proposed payload location method can significantly improve the locating accuracy of the stego positions in low frequencies.

【 授权许可】

Unknown