Abstract

In this paper a novel 13/9 lifting scheme for hiding data has been implemented. Lifting schemes are the part of wavelet transformation which decomposes image into wavelet coefficients using basis function for analyzing multi-resolution images. Lifting scheme is preferred for data hiding because the operations are performed in spatial domain by simple LSB replacement. The 13/9 lifting scheme contains 13 low pass and 9 high pass coefficients. As more information in image lies at low frequency components, 13/9 implemented lifting scheme contains 13 low-frequency components, whereas 5/3 lifting scheme contains 5 low frequencies and 9/7 lifting scheme contains 9 low frequencies. Simulation results show that the payload and average PSNR are increased than the existing methods with the PSNR 58.17 dB at bit rate of 0.05 for Lena image.

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