Steganalyzing texture images

Chunhua Chen; Yun Q. Shi; Guorong Xuan

doi:10.1109/ICIP.2007.4379115

Steganalyzing texture images

Chunhua Chen, Yun Q. Shi, Guorong Xuan

Electrical and Computer Engineering

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

8 Scopus citations

Abstract

A texture image is of noisy nature in its spatial representation. As a result, the data hidden in texture images, in particular in raw texture images, are hard to detect with current steganalytic methods. We propose an effective universal steganalyzer in this paper, which combines features, i.e., statistical moments of 1-D and 2-D characteristic functions extracted from the spatial representation and the block discrete cosine transform (BDCT) representations (with a set of different block sizes) of a given test image. This novel scheme can greatly improve the capability of attacking steganographic methods applied to texture images. In addition, it is shown that this scheme can be used as an effective universal steganalyzer for both texture and non-texture images.

Original language	English (US)
Title of host publication	2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
Pages	II153-II156
DOIs	https://doi.org/10.1109/ICIP.2007.4379115
State	Published - 2007
Event	14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States Duration: Sep 16 2007 → Sep 19 2007

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	2
ISSN (Print)	1522-4880

Other

Other	14th IEEE International Conference on Image Processing, ICIP 2007
Country/Territory	United States
City	San Antonio, TX
Period	9/16/07 → 9/19/07

All Science Journal Classification (ASJC) codes

General Engineering

Keywords

Block discrete cosine transform
Rake transform
Steganalysis
Texture images

Access to Document

10.1109/ICIP.2007.4379115

Cite this

@inproceedings{a545c69ea0434d43a3d1f5d5cd2ed0d0,

title = "Steganalyzing texture images",

abstract = "A texture image is of noisy nature in its spatial representation. As a result, the data hidden in texture images, in particular in raw texture images, are hard to detect with current steganalytic methods. We propose an effective universal steganalyzer in this paper, which combines features, i.e., statistical moments of 1-D and 2-D characteristic functions extracted from the spatial representation and the block discrete cosine transform (BDCT) representations (with a set of different block sizes) of a given test image. This novel scheme can greatly improve the capability of attacking steganographic methods applied to texture images. In addition, it is shown that this scheme can be used as an effective universal steganalyzer for both texture and non-texture images.",

keywords = "Block discrete cosine transform, Rake transform, Steganalysis, Texture images",

author = "Chunhua Chen and Shi, {Yun Q.} and Guorong Xuan",

year = "2007",

doi = "10.1109/ICIP.2007.4379115",

language = "English (US)",

isbn = "1424414377",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "II153--II156",

booktitle = "2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings",

note = "14th IEEE International Conference on Image Processing, ICIP 2007 ; Conference date: 16-09-2007 Through 19-09-2007",

}

Chen, C, Shi, YQ & Xuan, G 2007, Steganalyzing texture images. in 2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings., 4379115, Proceedings - International Conference on Image Processing, ICIP, vol. 2, pp. II153-II156, 14th IEEE International Conference on Image Processing, ICIP 2007, San Antonio, TX, United States, 9/16/07. https://doi.org/10.1109/ICIP.2007.4379115

TY - GEN

T1 - Steganalyzing texture images

AU - Chen, Chunhua

AU - Shi, Yun Q.

AU - Xuan, Guorong

PY - 2007

Y1 - 2007

N2 - A texture image is of noisy nature in its spatial representation. As a result, the data hidden in texture images, in particular in raw texture images, are hard to detect with current steganalytic methods. We propose an effective universal steganalyzer in this paper, which combines features, i.e., statistical moments of 1-D and 2-D characteristic functions extracted from the spatial representation and the block discrete cosine transform (BDCT) representations (with a set of different block sizes) of a given test image. This novel scheme can greatly improve the capability of attacking steganographic methods applied to texture images. In addition, it is shown that this scheme can be used as an effective universal steganalyzer for both texture and non-texture images.

AB - A texture image is of noisy nature in its spatial representation. As a result, the data hidden in texture images, in particular in raw texture images, are hard to detect with current steganalytic methods. We propose an effective universal steganalyzer in this paper, which combines features, i.e., statistical moments of 1-D and 2-D characteristic functions extracted from the spatial representation and the block discrete cosine transform (BDCT) representations (with a set of different block sizes) of a given test image. This novel scheme can greatly improve the capability of attacking steganographic methods applied to texture images. In addition, it is shown that this scheme can be used as an effective universal steganalyzer for both texture and non-texture images.

KW - Block discrete cosine transform

KW - Rake transform

KW - Steganalysis

KW - Texture images

UR - http://www.scopus.com/inward/record.url?scp=48149085335&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=48149085335&partnerID=8YFLogxK

U2 - 10.1109/ICIP.2007.4379115

DO - 10.1109/ICIP.2007.4379115

M3 - Conference contribution

AN - SCOPUS:48149085335

SN - 1424414377

SN - 9781424414376

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - II153-II156

BT - 2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings

T2 - 14th IEEE International Conference on Image Processing, ICIP 2007

Y2 - 16 September 2007 through 19 September 2007

ER -

Steganalyzing texture images

Abstract

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All Science Journal Classification (ASJC) codes

Keywords

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