Detecting doubly compressed JPEG images by using mode based first digit features

Bin Li; Yun-Qing Shi; Jiwu Huang

doi:10.1109/MMSP.2008.4665171

Detecting doubly compressed JPEG images by using mode based first digit features

Bin Li, Yun-Qing Shi, Jiwu Huang

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

150 Scopus citations

Abstract

In this paper, we utilize the probabilities of the first digits of quantized DCT (Discrete Cosine Transform) coefficients from individual AC (Alternate Current) modes to detect doubly compressed JPEG images. Our proposed features, named by Mode Based First Digit Features (MBFDF), have been shown to outperform all previous methods on discriminating doubly compressed JPEG images from singly compressed JPEG images. Furthermore, combining the MBFDF with a multi-class classification strategy can be exploited to identify the quality factor in the primary JPEG compression, thus successfully revealing the double JPEG compression history of a given JPEG image.

Original language	English (US)
Title of host publication	Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008
Pages	730-735
Number of pages	6
DOIs	https://doi.org/10.1109/MMSP.2008.4665171
State	Published - Dec 31 2008
Event	2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008 - Cairns, QLD, Australia Duration: Oct 8 2008 → Oct 10 2008

Other

Other	2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008
Country/Territory	Australia
City	Cairns, QLD
Period	10/8/08 → 10/10/08

All Science Journal Classification (ASJC) codes

Computer Graphics and Computer-Aided Design
Signal Processing
Electrical and Electronic Engineering

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10.1109/MMSP.2008.4665171

Cite this

@inproceedings{04a05647850942369e6c3cc3e7883296,

title = "Detecting doubly compressed JPEG images by using mode based first digit features",

abstract = "In this paper, we utilize the probabilities of the first digits of quantized DCT (Discrete Cosine Transform) coefficients from individual AC (Alternate Current) modes to detect doubly compressed JPEG images. Our proposed features, named by Mode Based First Digit Features (MBFDF), have been shown to outperform all previous methods on discriminating doubly compressed JPEG images from singly compressed JPEG images. Furthermore, combining the MBFDF with a multi-class classification strategy can be exploited to identify the quality factor in the primary JPEG compression, thus successfully revealing the double JPEG compression history of a given JPEG image.",

author = "Bin Li and Yun-Qing Shi and Jiwu Huang",

year = "2008",

month = dec,

day = "31",

doi = "10.1109/MMSP.2008.4665171",

language = "English (US)",

isbn = "9781424422951",

pages = "730--735",

booktitle = "Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008",

note = "2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008 ; Conference date: 08-10-2008 Through 10-10-2008",

}

Li, B, Shi, Y-Q & Huang, J 2008, Detecting doubly compressed JPEG images by using mode based first digit features. in Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008., 4665171, pp. 730-735, 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008, Cairns, QLD, Australia, 10/8/08. https://doi.org/10.1109/MMSP.2008.4665171

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T1 - Detecting doubly compressed JPEG images by using mode based first digit features

AU - Li, Bin

AU - Shi, Yun-Qing

AU - Huang, Jiwu

PY - 2008/12/31

Y1 - 2008/12/31

N2 - In this paper, we utilize the probabilities of the first digits of quantized DCT (Discrete Cosine Transform) coefficients from individual AC (Alternate Current) modes to detect doubly compressed JPEG images. Our proposed features, named by Mode Based First Digit Features (MBFDF), have been shown to outperform all previous methods on discriminating doubly compressed JPEG images from singly compressed JPEG images. Furthermore, combining the MBFDF with a multi-class classification strategy can be exploited to identify the quality factor in the primary JPEG compression, thus successfully revealing the double JPEG compression history of a given JPEG image.

AB - In this paper, we utilize the probabilities of the first digits of quantized DCT (Discrete Cosine Transform) coefficients from individual AC (Alternate Current) modes to detect doubly compressed JPEG images. Our proposed features, named by Mode Based First Digit Features (MBFDF), have been shown to outperform all previous methods on discriminating doubly compressed JPEG images from singly compressed JPEG images. Furthermore, combining the MBFDF with a multi-class classification strategy can be exploited to identify the quality factor in the primary JPEG compression, thus successfully revealing the double JPEG compression history of a given JPEG image.

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DO - 10.1109/MMSP.2008.4665171

M3 - Conference contribution

AN - SCOPUS:58049107658

SN - 9781424422951

SP - 730

EP - 735

BT - Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008

T2 - 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008

Y2 - 8 October 2008 through 10 October 2008

ER -

Detecting doubly compressed JPEG images by using mode based first digit features

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