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Determining the Efficient Subband Coefficients of Biorthogonal Wavelet for Gray level Image Watermarking
Nagaraj V. Dharwadkar, B. B. Amberker
Pages - 89 - 105     |    Revised - 30-04-2010     |    Published - 10-06-2010
Volume - 4   Issue - 2    |    Publication Date - May 2010  Table of Contents
Watermarking, DWT, RMS, MSE, PSNR
In this paper, we propose an invisible blind watermarking scheme for the gray-level images. The cover image is decomposed using the Discrete Wavelet Transform with Biorthogonal wavelet filters and the watermark is embedded into significant coefficients of the transformation. The Biorthogonal wavelet is used because it has the property of perfect reconstruction and smoothness. The proposed scheme embeds a monochrome watermark into a gray-level image. In the embedding process, we use a localized decomposition, means that the second level decomposition is performed on the detail sub-band resulting from the first level decomposition. The image is decomposed into first level and for second level decomposition we consider Horizontal, vertical and diagonal subband separately. From this second level decomposition we take the respective Horizontal, vertical and diagonal coefficients for embedding the watermark. The robustness of the scheme is tested by considering the different types of image processing attacks like blurring, cropping, sharpening, Gaussian filtering and salt and pepper noise effect. The experimental result shows that the embedding watermark into diagonal subband coefficients is robust against different types of attacks.
CITED BY (6)  
1 Kekre, H. B., Sarode, T., & Natu, S. (2015). performance comparison of hybrid wavelet transforms formed using dct, walsh, haar and dkt in watermarking. International Journal of Computer Science & Information Technology, 7(1), 41.
2 Kekre, H. B., Sarode, T., & Natu, S. (2015). performance analysis of watermarking using svd and column/row hybrid wavelet transform of dct with walsh, haar and dkt. International Journal of Advances in Engineering & Technology, 8(1), 1985.
3 Kekre, H. B., Sarode, T., & Natu, S. (2014). Robust Watermarking Technique using Hybrid Wavelet Transform Generated from Kekre Transform and Discrete Cosine Transform. International Journal of Scientific and Research Publications, 4(2).
4 Kekre, H. B., Sarode, T., & Natu, S. Performance Analysis of Watermarking using Kronecker Product of Orthogonal Transforms and Wavelet Transforms.
5 Kekre, D. H., Sarode, D. T., & Natu, S. (2013). Robust watermarking using Walsh wavelets and SVD. International Journal of Advances in Science and Technology, 6(4), 8-23.
6 Namazi, F., Karami, M. R., & Ghaderi, R. Robust Image Watermarking by Finite Radon, Wavelet and SVD.
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Mr. Nagaraj V. Dharwadkar
National Institute of Technology (NIT), Warangal - India
Mr. B. B. Amberker
National Institute of Technology (NIT), Warangal - India