Authors : T. Sujatha and K. Geetha
Abstract: With an eye on affording much-needed copyright and safety to multimedia data, a number of methods have been put forward by experts in the field of digital image watermarking. Among them, digital watermarking using wavelet transform has gained supreme significance, keen enthusiasm due to its perceptual visibility and robustness among different attacks. In this study, dynamic prediction error integrated reversible image watermarking is proposed. The technique consists of four modules, namely pre-processing module, pixel prediction module, embedding module and extraction module. Watermark embedding is carried out by calculation of prediction error. The evaluation metric used are Peak Signal to Noise Ratio (PSNR) and Normalised Correlation (NC). We can see high NC and PSNR obtained for the technique with an average NC of 0.996 and PSNR of 51.8. Highest PSNR obtained was 54.05. Robustness analysis for various attacks such as filter, noise, cropping and blurring were also carried out. Comparative analysis is also carried out with respect to our earlier work, base paper and conventional method. From the evaluation metric values, we can infer that the proposed technique has obtained good results.
T. Sujatha and K. Geetha, 2016. Dynamic Prediction Error Integrated Reversible Image Watermarking. Asian Journal of Information Technology, 15: 3311-3319.