Boosting robustness against composite attacks for quantization index-modulation algorithms

Although solutions to a particular attack against the quantization index modulation (QIM) method such as valumetric scaling have been proposed, no attempt has been made to a combined form of common attacks, including valumetric scaling, constant change, additive white Gaussian noise (AWGN), and comp...

Full description

Saved in:
Bibliographic Details
Published in:Journal of electronic imaging 2010-04, Vol.19 (2), p.023010-023010
Main Author: Won, Chee-Sun
Format: Article
Language:English
Subjects:
Algorithms
Compressing
Compression tests
Direct current
Image compression
Mathematical models
Quantization
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Although solutions to a particular attack against the quantization index modulation (QIM) method such as valumetric scaling have been proposed, no attempt has been made to a combined form of common attacks, including valumetric scaling, constant change, additive white Gaussian noise (AWGN), and compressions. Of course, the composite attacks are more realistic but more difficult to solve. In this work, we tackle composite attacks in the framework of the QIM. We seek the solution in DC values of image blocks. By embedding watermark bits into DC values, QIM becomes generically robust against AWGN and most image compression attacks. To undo the alterations caused by valumetric scaling and constant change, pilot reference signals can be embedded into some selected image blocks, where the parameters for the affine transform model of the attacks are estimated directly from the watermarked images. Four versions of block-wise QIM algorithms with pilot signals are proposed. Experimental results show their robustness against severe composite attacks, including valumetric scaling, constant change, AWGN, and JPEG compressions.
ISSN:1017-9909
1560-229X
DOI:10.1117/1.3427158