Biorthogonal Wavelet Transform Digital Image Watermarking

With the growing popularity of Digital Medias through the World Wide Web, intellectual property needs copyright protection, prevention of illegal copying and verification of content integrity. The new data hiding techniques need to be developed that satisfy the requirements of Imperceptibility, Robustness, Capacity, or data hiding rate and Security of the hidden data etc. Watermarking has been utilized by researchers for the security of digital documents. In this paper we proposed a method which is an efficient scheme for protecting the copyrights of digital images with the aid of both biometrics and digital watermarking. Newer data hiding techniques that satisfy the requirements of imperceptibility, robustness, capacities, or data hiding rate and security of the hidden data etc., are being developed. Therefore the preference to go for digital image watermarking, to show resiliency against various unintentional or deliberate attacks has increased. In this paper implementation of two different watermarking algorithms in the frequency domain will be presented. The first algorithm is based on the Discrete Wavelet Transform (DWT), the second one is based on the Bi-orthogonal Wavelet Transform (BWT). Embedding the watermark is done by modifying the coefficients of the middle frequency band within region of non-interest (RONI) so that the visibility of the image and diagnosis capability will not be affected and the watermark will not be removed by attacks. All schemes are tested using medical images and the simulation results are compared and the comparison shows that the best scheme is that based on using BWT.