Haider Ismael Shahadi

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In this study, a novel and high embedding capacity audio steganography scheme based on Lifting Wavelet Transform (LWT) and adaptive embedding positions is proposed. Specifically, the message data is inserted in the imperceptible positions that chosen from the coefficients of detail sub-bands taking advantage of our proposed Weighted Block Matching (WBM).(More)
This work is related to audio Stegnography and presents the statistical analysis of various quality measuring parameters of audio Stegnography, e.g. signal to noise ratio (SNR), peak signal to noise ratio (PSNR) and mean square error (MSE), for different bit position substitution in an audio cover file in discrete cosine transform (DCT) domain.(More)
Steganography is the art of message hiding in a cover signal without attracting attention. The requirements of the good steganography algorithm are security, capacity, robustness and imperceptibility, all them are contradictory, therefore, satisfying all together is not easy especially in audio cover signal because human auditory system (HAS) has high(More)
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