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Robust Digital Image-Adaptive Watermarking Using BSS Based
Sangeeta d. Jadhav, anjali s. bhalchandra
Pages - 77 - 88     |    Revised - 25-02-2010     |    Published - 31-03-2010
Volume - 4   Issue - 1    |    Publication Date - March 2010  Table of Contents
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KEYWORDS
DWT, BFGS, Mixing matrix, Dewatermarking, BSS
ABSTRACT
In a digital watermarking scheme, it is not convenient to carry the original image all the time in order to detect the owner's signature from the watermarked image. Moreover, for those applications that require different watermark for different copies, it is preferred to utilize some kind of watermark-independent algorithm for extraction process i.e. dewatermarking. Watermark embedding is performed in the blue channel, as it is less sensitive to human visual system .This paper proposes a new color image watermarking method ,which adopts Blind Source Separation (BSS) technique for watermark extraction. Single level Discrete Wavelet Transform(DWT) is used for embedding . The novelty of our scheme lies in determining the mixing matrix for BSS model during embedding. The determination of mixing matrix using Quasi-Newton’s (BFGS) technique is based on texture analysis which uses energy as metric. This makes our method image adaptive to embed the watermark into original image so as not to bring about a perceptible change in the marked image. BSS based on Joint diagonalization of the time delayed covariance matrices algorithm is used for the extraction of watermark. The proposed method, undergoing different experiments, has shown its robustness against many attacks including rotation ,low pass filtering, salt n pepper noise addition and compression. The robustness evaluation is also carried out with respect to the spatial domain embedding.
CITED BY (5)  
1 Said, M. A. (2015). A comparison of discrete cosine transform and discrete wavelet transform algorithm in watermarking against common attacks (Doctoral dissertation, Universiti Tun Hussein Onn Malaysia).
2 Mohammed, F. T. Watermarking application on video file using DCT transformation.
3 Chitla, A., & Mohan, M. C. (2012). Authentication of Images through Lossless Watermarking (LWM) Technique with the aid of Elliptic Curve Cryptography (ECC). International Journal of Computer Applications, 57(6).
4 Liu, J., & Sun, J. (2011). Independent component analysis-based image/video analysis and applications. CAAI Transactions on Intelligent Systems, 6, 006.
5 Liu Ju, & Sun Jiande. (2011). ICA image / video analysis and applications. Intelligent Systems, 6 (6), 495-506.
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Mr. Sangeeta d. Jadhav
Army Institute of Technology,Pune - India
djsangeeta@rediffmail.com
Dr. anjali s. bhalchandra
govt engg. college ,aurangabad - India