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

fYear

2011

fDate

12-15 Aug. 2011

Firstpage

234

Lastpage

237

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICIG.2011.100

Filename

6005559