Theoretical capacity measures for data hiding in compressed images

Document Type

Article

Publication Date

1-1-1999

Abstract

We present an information-theoretic approach to obtain an estimate of the number of bits that can be hidden in still images, or, the capacity of the data-hiding channel. We show how the addition of the message signal or signature in a suitable transform domain rather than the spatial domain can significantly increase the channel capacity. Most of the state-of-the-art schemes developed thus far for data-hiding have embedded bits in some transform domain, as it has always been implicitly understood that a decomposition would help. In this paper we compare the achievable data-hiding capacities for different decompositions like DCT, Hartley, Hadamard, and subband transforms. We show that transforms with inferior energy compaction property like Hartley and Hadamard are better choices for the decomposition, than transforms with good energy-compaction property, like DCT or subband (wavelet) transforms.

Identifier

0032681753 (Scopus)

Publication Title

Proceedings of SPIE the International Society for Optical Engineering

ISSN

0277786X

First Page

482

Last Page

492

Volume

3528

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