Improved Consistency of Digital Image Watermarking Using RDWT and SVD

M. Jamal¹ , S. Mudassar² , F. S. Mehmood³ , M. R. Rehman⁴

1. Dept. Of Computer Sciences, NCBAE, Multan, Pakistan.
2. Dept. Of Computer Sciences, NCBAE, Multan, Pakistan.
3. Dept. Of Computer Sciences, NCBAE, Multan, Pakistan.
4. Dept. of Computer Sciences, Govt. Sector, Multan, Pakistan.

Correspondence should be addressed to: munazahjamal@ymail.com.

Section:Research Paper, Product Type: Isroset-Journal
Vol.5 , Issue.3 , pp.104-106, Jun-2017

Online published on Jun 30, 2017

Copyright © M. Jamal, S. Mudassar, F. S. Mehmood, M. R. Rehman . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Digital Image Watermarking (DIW) is such a technique designed specifically for the protection of the images or data from illicit transformations. One of the best suited methods for patent protection and owner authentication is watermarking. In this document, a non-blind Digital Image Watermarking method was proposed that is the fusion of two different techniques i.e “Redundant Discrete Wavelet Transform (RDWT) and Singular Value Decomposition (SVD)” in YCbCr color space. A consistent way of protection was introduced as it showed more resistance than that of different wavelet based techniques. The proposed scheme was tested against different geometrical transformations (median filtering, noise addition, cropping etc) and provided better extraction of the watermark. The performance is increased that are shown using these parametric values i.e Mean Square Error (MSE), Normalized Correlation (NC) and Peak Signal-to-noise Ratio (PSNR), RMSE(Root Mean Square Error), NPCR(No. of Pixel change rate), SSIM(Structural Similarity Index).

Key-Words / Index Term :
Redundant Discrete Wavelet Transform,Singular Value Decomposition,YCbCr Color Space

References :
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