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Choice of Wavelet from Wavelet Families for DWT-DCT-SVD Image Watermarking
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 48 - Number 17 |
| Year of Publication: 2012 |
| Authors: Anjul Singh, Akash Tayal |
10.5120/7439-0375
|
Anjul Singh, Akash Tayal . Choice of Wavelet from Wavelet Families for DWT-DCT-SVD Image Watermarking. International Journal of Computer Applications. 48, 17 ( June 2012), 9-14. DOI=10.5120/7439-0375
Abstract
To achieve the copyright protection in digital images, watermarking is identified as a major technology to protect digital images from illegal manipulation and geometric distortions. In this paper we discuss a digital image watermarking algorithm based on Discrete Wavelet Transform – Discrete Cosine Transform –Singular Value Decomposition (DWT-DCT-SVD). Here in this paper we examined and compared various wavelet families such as Haar, Daubechies, Biorthogonal and Coiflets for the watermarking algorithm. The difference in this method, from other traditional methods is that the watermark is embedded in high frequency band. Traditionally it is assumed that for having good robustness, a watermark should be embedded in low or mid frequency. DWT provides scalability, DCT provides compression and SVD offers minimum or no distortion. Choice of wavelets depends on the choice of wavelet function as DWT can be composed of any function that satisfies requirements of multiresolution analysis. In each of these wavelet families we analyzed effects of wavelets on image quality. The simulation results show good performance with respect to robustness against various image processing operations.
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