A steganographic method for images by pixel-value differencing
Pattern Recognition Letters
ICS'05 Proceedings of the 9th WSEAS International Conference on Systems
Dual purpose FWT domain spread spectrum image watermarking in real time
Computers and Electrical Engineering
Hardware assisted watermarking for multimedia
Computers and Electrical Engineering
IEEE Transactions on Multimedia
Perceptually adaptive spread transform image watermarking scheme using Hadamard transform
Information Sciences: an International Journal
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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