Adaptive Color Image Watermarking Scheme Using Weibull Distribution

Digital watermarking is considered to be an important technique for protecting copyrights of digital images. In this paper, a new adaptive watermarking algorithm using Weibull distribution is proposed. In order to embed a digital watermark, the cover image is transformed into frequency components and it is modulated. This proposal uses discrete wavelet transformation and discrete cosines transformation techniques to obtain frequency components. The selected robust frequency components are modulated for embedding a watermark. In addition, the quality of watermarked images is preserved through adaptive calculation of scaling and embedding parameters. The efficiency of the proposed algorithm is tested through various attacks. The obtained similarity measure values of Gaussian low-pass filter, compression, and Poison attacks are 98, 96, and 98 %, respectively. The calculated values for other attacks are also tabulated and efficiency of the proposed algorithm is proved.

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