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Complex Wavelet Transform Based Adaptive Multiple Watermarking Algorithm for Images


Affiliations
1 Department of EEE, Kongu Engineering College, Perundurai, Erode-638 052, Tamil Nadu, India
2 Department of ECE, JJ College of Engineering and Technology, Ammapettai, Tiruchirappalli - 620 009, Tamil Nadu, India
3 Department of ECE, K.S.R.College of Engineering, Tiruchengode-637 215, TamilNadu, India
     

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In this paper, we present a novel multiple watermarking algorithm using Dual Tree Complex Wavelet Transform (DTCWT). CWT has more applicability in image transformation due to its excellence in directionality, oscillations, shift invariance and aliasing. Eigen values of mid frequency band of cover image are modified by Eigen values of dual binary watermarks, which are obtained by Singular Value Decomposition (SVD). Experimental results show that the proposed watermarking algorithm based on CWT is well suited for various gray scale images when compared to conventional DWT.

Keywords

CWT, DWT, SVD and Multiple Watermarking.
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  • Complex Wavelet Transform Based Adaptive Multiple Watermarking Algorithm for Images

Abstract Views: 231  |  PDF Views: 3

Authors

S. Maheswari
Department of EEE, Kongu Engineering College, Perundurai, Erode-638 052, Tamil Nadu, India
K. Rameshwaran
Department of ECE, JJ College of Engineering and Technology, Ammapettai, Tiruchirappalli - 620 009, Tamil Nadu, India
K. P. Sampoornam
Department of ECE, K.S.R.College of Engineering, Tiruchengode-637 215, TamilNadu, India

Abstract


In this paper, we present a novel multiple watermarking algorithm using Dual Tree Complex Wavelet Transform (DTCWT). CWT has more applicability in image transformation due to its excellence in directionality, oscillations, shift invariance and aliasing. Eigen values of mid frequency band of cover image are modified by Eigen values of dual binary watermarks, which are obtained by Singular Value Decomposition (SVD). Experimental results show that the proposed watermarking algorithm based on CWT is well suited for various gray scale images when compared to conventional DWT.

Keywords


CWT, DWT, SVD and Multiple Watermarking.