Abstract
The majority of the existing data hiding schemes are based on the direct-sequence (DS) modulation where a low-power random sequence is embedded into the original cover signal to represent hidden information. In this paper, we investigate linear and nonlinear modulation approaches in digital data hiding. One typical DS modulation algorithm is explored and its optimal oblivious detector is derived. The results expose its poor cover noise suppression as the hiding signature signal always has much lower energy than the cover signal. A simple nonlinear algorithm, called set partitioning, is proposed and its performance is analyzed. Analysis and simulation studies further demonstrate improvements over the existing schemes.
Highlights
Multimedia data hiding is the art of hiding information in a multimedia content cover signal, like image, video, audio and so forth
Data hiding is the game played between distortion and robustness and there is a tradeoff between these two factors
To evaluate the performance of set partitioning scheme, detection of bit error rate (BER) is measured for various signal-to-noise ratio (SNR) in a Gaussian noise environment
Summary
Multimedia data hiding is the art of hiding information in a multimedia content cover signal, like image, video, audio and so forth. Originally proposed for escrow applications, the DS schemes have been used in oblivious cases, such as message embedding in video [4, 5], audio [1, 6], and images [7, 8]. In the first part of the paper, the performance of the DS modulation and its corresponding detection algorithms is analyzed Both theoretical analysis and simulation studies highlight the inefficiency of these algorithms for the cover noise suppression. This result is intuitive as the hiding signals have very low energy compared to the original content signals. Both analytical and simulation studies unveil its inferior results in oblivious applications.
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