Title :
A hybrid semi-blind digital image watermarking technique using lifting wavelet transform — Singular value decomposition
Author :
Arya, Meenakshi S. ; Siddavatam, Rajesh ; Ghrera, S.P.
Author_Institution :
Jaypee Univ. of Inf. Technol., Waknaghat, India
Abstract :
The lifting wavelet transform (LWT) is a recent approach to wavelet transform and singular value decomposition (SVD) is a valuable transform technique for robust digital watermarking. While LWT allows generating an infinite number of discrete biorthogonal wavelets starting from an initial one, singular values (SV) allow us to make changes in an image without affecting the image quality much. This paper presents an approach which tries to amalgamate the features of these two transforms to achieve a hybrid and robust digital image watermarking techniques. Certain performance metrics are used to test the robustness of the method against common image processing attacks.
Keywords :
image watermarking; singular value decomposition; wavelet transforms; discrete biorthogonal wavelets; hybrid semiblind digital image watermarking technique; image quality; lifting wavelet transform; singular value decomposition; Filtering algorithms; Image coding; PSNR; Singular value decomposition; Watermarking; Wavelet transforms; Biorthogonal wavelets; Digital image watermarking; Lifting wavelet transform; Singular value decomposition;
Conference_Titel :
Electro/Information Technology (EIT), 2011 IEEE International Conference on
Conference_Location :
Mankato, MN
Print_ISBN :
978-1-61284-465-7
DOI :
10.1109/EIT.2011.5978552