Abstract:

A novel algorithm embedded watermark information into the discrete cosine transform (DCT) domain of the brightness component of the color image is proposed by means of support vector regression (SVR). Using the YCbCr color space of the color image, the brightness component is divided into blocks and each block is done discrete cosine transform. The intermediate frequency coefficient is chosen in the domain and the relation model between the coefficient and its neighborhood is constructed by utilizing the good learning ability and generalization ability of SVR. According to the intermediate coefficient and output predicted by the SVR model, the watermark is embedded by adjusting the coefficient. Furthermore, the SVR model is reconstructed during the watermark extraction. The algorithm proposed is a blind detection due to the process of extracting watermark without the original color image. In addition, the experimental results further demonstrate that this algorithm has the good imperceptibility and the strong robustness for chrominance transformation, lowpass filtering, blurring, sharpening, brightness and contrast enhancement, noise addition and geometric transformation, especially for JPEG compression.