International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 179 - Issue 53 |
Published: Jun 2018 |
Authors: Subash N., Jayachandra Prasad T., Sumalatha V. |
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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
@article{ 10.5120/ijca2018917377, author = { Subash N.,Jayachandra Prasad T.,Sumalatha V. }, title = { 13/9 Lifting Wavelet Transform based Reversible Data Hiding }, journal = { International Journal of Computer Applications }, year = { 2018 }, volume = { 179 }, number = { 53 }, pages = { 20-26 }, doi = { 10.5120/ijca2018917377 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2018 %A Subash N. %A Jayachandra Prasad T. %A Sumalatha V. %T 13/9 Lifting Wavelet Transform based Reversible Data Hiding%T %J International Journal of Computer Applications %V 179 %N 53 %P 20-26 %R 10.5120/ijca2018917377 %I Foundation of Computer Science (FCS), NY, USA
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.