An Image Watermarking Method Based on Mean-Removed Vector Quantization for Multiple Purposes

Digital watermarking technique has been presented to solve copyright protection, copy protection, and content authentication issues in the digital world. Conventional watermarking algorithms are mostly designed for only one purpose. In recent years, some multipurpose digital watermarking methods based on discrete wavelet transform (DWT) and discrete Fourier transform (DFT) have been presented to achieve the goal of both content authentication and copyright protection. In this paper, we present a novel multipurpose digital image watermarking method based on a mean-removed vector quantizer structure. In the proposed method, the fragile watermark and the robust watermark are embedded in mean indices and residual indices respectively. Simulation results demonstrate the efectiveness in terms of robustness and fragility.