vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff25510a0000006b0f000001000e00 In recent years, access to multimedia data has become much easier due to rapid growth of the internet. While this is usually considered an improvement of everyday life, it also makes unauthorized copying and distributing of multimedia data much easier, therefore presenting a field of watermarking. Many literatures have reported about Discrete Wavelet Transform watermarking techniques for data security. However, DWT based watermarking schemes are found to be less robust against image processing attacks and the shift variance of Wavelet Packet Transform causes inaccurate extraction. In this paper, an attempt is made to develop a watermarking scheme based on RDWT and extraction using Independent Component Analysis (ICA). Various ICA like Fast ICA, Radical ICA, Pearson ICA, Jade ICA, Maximum Likelihood ICA, Mean Field ICA and Kernel ICA are proposed and implemented for extraction. Simulation results reveal that Fast ICA produces better Similarity Measure and Mutual Information over other ICA methods.
G. Thirugnanam1 and S. Arulselvi2
Annamalai University, India
Authentication, Digital Watermarking, Independent Component Analysis, Redundant Discrete Wavelet Transform
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| Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 2 , Issue: 3 , Pages: 375-381 )
Date of Publication :
February 2012
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194
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