Title :
Double Compression Detection Based on Markov Model of the First Digits of DCT Coefficients
Author :
Dong, Lisha ; Kong, Xiangwei ; Wang, Bo ; You, Xin´gang
Author_Institution :
Sch. of Inf. & Commun. Eng., Dalian Univ. of Technol., Dalian, China
Abstract :
Double compression usually occurs after the image has gone through some kinds of tampering, so double compression detection is a basic mean to assess the authenticity of a given image. In this paper, we propose to model the distribution of the mode based first digits of DCT (Discrete Cosine Transform) coefficients using Markov transition probability matrix and utilize its stationary distribution as features for double compression detection. Experiment results show the effectiveness of the proposed method and comparison has been made to show the improvement by using this second order statistical model.
Keywords :
Markov processes; data compression; discrete cosine transforms; object detection; probability; DCT coefficient; Markov model; Markov transition probability matrix; discrete cosine transform; double compression detection; image authenticity; image tampering; second order statistical model; stationary distribution; Accuracy; Discrete cosine transforms; Feature extraction; Image coding; Markov processes; Q factor; Transform coding; Markov model; double compression detection; first digits of DCT coefficients;
Conference_Titel :
Image and Graphics (ICIG), 2011 Sixth International Conference on
Conference_Location :
Hefei, Anhui
Print_ISBN :
978-1-4577-1560-0
Electronic_ISBN :
978-0-7695-4541-7
DOI :
10.1109/ICIG.2011.100
