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Capacity estimates for data hiding in compressed images (1999).
| Content Provider | CiteSeerX |
|---|---|
| Author | Ramkumar, Mahalingam Akansu, Ali N. |
| Abstract | In this paper, 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 showhow 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 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. |
| File Format | |
| Publisher Date | 1999-01-01 |
| Access Restriction | Open |
| Subject Keyword | Capacity Estimate Data Hiding Compressed Image Transform Domain Suitable Transform Domain Literature Use Dct Different Decomposition Subband Transforms State-of-the-art Scheme Channel Capacity Magnitude Dft Decomposition Performs Data-hiding Channel Spatial Domain Achievable Data-hiding Capacity Message Signal Information-theoretic Approach |
| Content Type | Text |
