Digital Image Multiresolution Watermark Based on Human Visual System

Digital watermarking has been proposed as a way to claim protection. In this paper, we try to use the error-correcting code skill, the multiresolution of wavelet transformation, and the human visual system to improve the traditional watermarking. Error-correcting based watermarking will have the property that corrects errors of the extracted watermark automatically. The HVS (Human Visual System) model will be presented to investigate perceptually characteristic parts of human (e.g. intensity or hue) and how to insert the watermark into the original data, where the perceptual sensitivity of human is relatively low. A multiresolution watermarking based on the wavelet transformation is selected in each frequency band of the Discrete Wavelet Transform (DWT) domain and therefore it can resist the destruction of image processing. In our experiments, the results show that the robustness of a watermark with ECC (Error Correct Coding) is much better than the traditional one without ECC.