Image Watermarking Based on 5/3 Wavelet Decomposition and Turbo-Code

This paper is an attempt to describe a new scheme of image watermarking based on 5/3 wavelet decomposition and turbo-code. This new watermarking algorithm based on embedding mark (signature) in the multi-resolution field. For the purpose of increasing the image watermarking robustness against attacks of an image transmission, we encode with a turbo code an image-embedded mark. This new scheme of image watermarking is able to embed 2000 bits in medical images. Results of experiments carried out on a database of 30 256×256 pixel sized medical images show that watermarks are robust to Noises, Filter attacks and JPEG Compression. Results demonstrate that fidelity can be improved by incorporating turbo codecoding mark that is shaped into the embedding process. Other advantages of our embedding process are to preserve intellectual features and to secure the mark in the image. The image degradation is measured by Relative Peak Signal to Noise Ratio (RPSNR). Experimental results show that this unit of measurement is the best distortion metric which is correlated with Human Visual System (HVS); and therefore more suitable for digital watermarking.