Robust Reversible Watermarking Based On Normalized Correlation Quantization Index Modulation Combined With Cdma Techniques

A novel quantization watermarking scheme is presented in this paper, which is established following the feature modulation watermarking model. In this scheme, a feature signal is achieved by computing the normalized correlation (NC) between the host signal and a random signal. Information modulation is carried out on the generated NC by selecting a codeword from the codebook related with the embedded information. In a simple instance, the structured codebooks are designed using uniform quantizers for modulation. The watermarked signal is formed to provide the modulated NC in the sense of minimizing the embedding distortion. The performance of the NC-based quantization index modulation (NCQIM) is analytically examined, in terms of the embedding distortion and the decoding error probability in the presence of valumetric scaling and additive noise attacks. The proposed method is also simulated on number of images by using the CDMA based implementations. Experimental results show that the proposed NCQIM not only achieves the improved watermark imperceptibility and a higher embedding capacity in high-noise regimes, but also is more robust to a wide range of attacks as compared with the state-of-the-art watermarking methods.