Contrast Based Color Watermarking using Lagrange Polynomials Interpolation in Wavelet Domain
D. Phani Kumar1, G. Rosline Nesakumari2, S. Maruthu Perumal3
1D. Phani Kumar, Student M. Tech (SE), Computer Science & Engineering ,Godavari Institute of Engineeing & Technology, Rajahmundry, (Andhra Pradesh), India.
2G. Rosline Nesakumari, Associate Professor, Information Technology, Godavari Institute of Engineeing & Technology, Rajahmundry, (Andhra Pradesh), India.
3Dr. S. Maruthuperumal, Professor & HOD, Computer Science & Engineering, Godavari Institute of Engineering and Technology, (Andhra Pradesh), India.
Manuscript received on September 25, 2013. | Revised Manuscript received on October 05, 2013. | Manuscript published on October 30, 2013. | PP: 362-367  | Volume-3, Issue-1, October 2013. | Retrieval Number:  A2288103113/2013©BEIESP

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Abstract: Vigorous watermarking with unconscious detection is necessary to realistic copyright protection of digital images. Digital watermarking includes a number of approaches that are used to undetectably communicate the information by embedding it into the original data. The proposed robust and blind color based watermarking scheme is embeds color watermarks in color images using Langrage Polynomial Interpolation (LPI) in wavelet domain. Successful development of uniqueness of proposed method helps to develop a watermarking scheme that fulfills the requirement. The proposed watermarking technique embeds only the watermark key in the diagonal part of the image. The watermark is a color logo and it not going to embed into the image. Only a tiny quantity of information is required to extract the watermark key. From the watermark key easily can retrieved original color watermark from the watermarked image. The watermark key was generated by using chaotic mapping technique. Experimental results show that the proposed watermarking scheme is computationally uncomplicated and fairly robust and good quality image
Keywords:
Chaotic mapping, Wavelet, Watermark Key, Langrage Polynomial Interpolation (LPI).