Capacity estimates for data hiding in compressed images
Ramkumar, M.; Akansu, A.N.
Image Processing, IEEE Transactions on
Volume 10, Issue 8, Aug 2001 Page(s):1252 - 1263
Digital Object Identifier 10.1109/83.935040
Summary: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. Though most methods reported
in the literature use DCT or wavelet decomposition for data embedding,
the choice of the transform is not obvious. We compare the achievable
data hiding capacities for different decompositions like DCT, DFT,
Hadamard, and subband transforms and show that the magnitude DFT
decomposition performs best among the ones compared
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