International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 179 - Number 53 |
Year of Publication: 2018 |
Authors: Subash N., Jayachandra Prasad T., Sumalatha V. |
10.5120/ijca2018917377 |
Subash N., Jayachandra Prasad T., Sumalatha V. . 13/9 Lifting Wavelet Transform based Reversible Data Hiding. International Journal of Computer Applications. 179, 53 ( Jun 2018), 20-26. DOI=10.5120/ijca2018917377
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.