Meaningful Digital Image Watermarking Scheme Using Spatial And DWT Transforming

The growth of new multimedia signal processing technologies has created a need for techniques that can be used for copyright protection of digital images and video. One approach for copyright protection is to introduce an invisible signal, known as a digital watermark, into an image or video sequence. A digital watermark is information that is imperceptibly and robustly embedded in the host data such that it cannot be removed. A meaningful digital image watermarking scheme using spatial domain transform and discrete wavelet transform (DWT) has been developed in this thesis. The multiresolution structure of wavelet is used to construct the image frequency components., which has better image fidelity preservation and robustness than spatial domain based techniques. We use the TORAL automorphisms in spatial domain as chaotic 2-D integer vector generation in order to manipulate meaningful digital image watermarking. Compared with some known approach of watermarking schemes, it is show that this method is more robust and information protection for keeping meaningful watermark intact under image processing attacks like image JEPG compression.