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Proceedings Paper

Channel models for high-capacity information hiding in images
Author(s): Johann A. Briffa; Manohar Das
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Paper Abstract

We consider the scenario of blind information hiding in images as a communications channel, where the channel noise is caused by the embedding and blind extraction method as well as by any lossy compression method utilized to store and transmit the image. We assume that the objectives of the information hiding method are the maximization of payload and its visual and statistical imperceptibility; also, we assume that the warden is passive. For the specific method of Spread Spectrum Image Steganography (SSIS) we show that the channel can be modeled as a Laplacian distribution, and use this to estimate the channel SNR to be expected for any given signal embedding strength by applying the technique to a range of typical images. Finally, we model the effects of various signal extraction methods and lossy compression. This allows a fair comparison with respect to payload capacity. The results shown in this paper are useful for maximizing the channel usage.

Paper Details

Date Published: 30 January 2003
PDF: 10 pages
Proc. SPIE 4793, Mathematics of Data/Image Coding, Compression, and Encryption V, with Applications, (30 January 2003); doi: 10.1117/12.451259
Show Author Affiliations
Johann A. Briffa, Oakland Univ. (United States)
Manohar Das, Oakland Univ. (United States)

Published in SPIE Proceedings Vol. 4793:
Mathematics of Data/Image Coding, Compression, and Encryption V, with Applications
Mark S. Schmalz, Editor(s)

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