A Complete Frequency Lossless Watermarking Method via Bandelet and Adaptive Matrix Norm

The watermark is the new technology which can be used to apply to authenticate the image copyright and offer the safety. The traditional watermark protects the digital image through modifying the image data to hide the information which is used to authenticate the image copyright. It does not suit protecting some images which are not permitted to be destroyed. The lossless watermarking is an effective method to protect these image data. A complete frequency lossless watermarking method with which the image data need not be changed is proposed in this paper. Wavelet transform is first performed for the original image, and then for the high and middle frequency part of the image transformed, the geometric flow is traced by using Bandelet, and the texture and edge considered for feature parameters of the image are used to construct high frequency lossless watermarking. For the low frequency part of wavelet coefficients, by selecting optimal matrix norm a new watermarking scheme is then proposed. Through drawing the statistical character and the edge of the image, the method is able to protect the image from all-around attack. The experimental tests show that the proposed approach has the capability to resist strong attacking，and it can be widely used in protecting data which are not permitted to be modified.