Optimization of Blind 3D Model Watermarking Using Wavelets and DCT

3D model watermarking is a process of inserting data (like text, image, 3D model, audio etc.) into 3D model. Watermark remains in the 3D model even after applying various attacks. The technique proposed here is based on optimization, multi-resolution representation in wavelet domain, and DCT. In this method, the optimized parameter and the watermark scrambled by Arnold Transform is embedded in the DCT mid band coefficients after applying 3 levels Haar transform on 3D model. Blind method is used to extract the watermark. The system is tested and analysed against various 3D models. Analysis shows that the optimized parameter used, increases the PSNR and correlation values of the watermarked models and watermark resp. Results show that the system is robust for similarity transformations, noise, smoothing and cropping attacks.