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Proceedings Paper

Image data-hiding based on capacity-approaching dirty-paper coding
Author(s): Yang Yang; Yong Sun; Vladimir Stanković; Zixiang Xiong
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Paper Abstract

We present an image data-hiding scheme based on near-capacity dirty-paper codes. The scheme achieves high embedding rates by "hiding" information into mid-frequency DCT coefficients among each DCT block of the host image. To reduce the perceptual distortion due to data-hiding, the mid-frequency DCT coefficients are first perceptually scaled according to Watson's model. Then a rate-1/3 projection matrix in conjunction with a rate-1/5 capacity-approaching dirty-paper code is applied. We are able to embed 1500 information bits into 256×256 images, outperforming, under a Gaussian noise attack, currently the best known data-hiding scheme by 33%. Robustness tests against different attacks, such as low-pass filtering, image scaling, and lossy compression, show that our scheme is a good candidate for high-rate image data-hiding applications.

Paper Details

Date Published: 16 February 2006
PDF: 11 pages
Proc. SPIE 6072, Security, Steganography, and Watermarking of Multimedia Contents VIII, 607214 (16 February 2006); doi: 10.1117/12.644908
Show Author Affiliations
Yang Yang, Texas A&M Univ. (United States)
Yong Sun, Texas A&M Univ. (United States)
Vladimir Stanković, Texas A&M Univ. (United States)
Zixiang Xiong, Texas A&M Univ. (United States)

Published in SPIE Proceedings Vol. 6072:
Security, Steganography, and Watermarking of Multimedia Contents VIII
Edward J. Delp III; Ping Wah Wong, Editor(s)

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