Abstract—Due to the advancement in Computer technology and readily available tools, it is very easy for the unknown users to produce illegal copies of multimedia data which are floating across the Internet. In order to protect those multimedia data on the Internet many techniques are available including various encryption techniques, steganography techniques, watermarking techniques and information hiding techniques. Digital watermarking is a technique in which a piece of digital information is embedded into an image and extracted later for ownership verification. Secret digital data can be embedded either in spatial domain or in frequency domain of the cover data. In this paper, a new singular value decomposition (SVD) and discrete wavelet transformation (DWT) based technique is proposed for hiding watermark in full frequency band of color images (DSFW). The quality of the watermarked image and extracted watermark is measured using peak signal to noise ratio (PSNR) and normalized correlation (NC) respectively. It is observed that the quality of the watermarked image is maintained with the value of 36dB. Robustness of proposed algorithm is tested for various attacks including salt and peppernoise and Gaussian noise, cropping and JPEG compression.
Index Terms—Digital watermarking, Discrete Wavelet transformation technique, SVD-Watermarking, Transform Domain watermarking.
V. Santhi is with the VIT University, Vellore, Tamil Nadu, India, 632 014 phone: +91 9865762713
Arunkumar Thangavelu is with VIT University, Vellore, Tamil Nadu, India, 632 014 .
Cite: V. Santhi and Dr. Arunkumar Thangavelu, "DWT-SVD Combined Full Band Robust Watermarking Technique for Color Images in YUV Color Space," International Journal of Computer Theory and Engineering vol. 1, no. 4, pp. 424-429, 2009.