Performance comparison of wavelet filters against signal processing attacks

The rapidly growing field of digital contents (image, audio, and video) has incited the need of copyright protection and content authentication, which can be used to verify against any unlawful attempt to either reproduce or juggle them in order to change their identity. Digital watermarking is a method providing a best result to the trouble of copyright protection and content authentication of digital contents. However, the digital contents can be easily obtained or facsimiled, misrepresented, distributed and stored. In this paper, we present the image watermarking method depends on the two most popular transform methods such as discrete wavelet transforms (DWT) and singular value decomposition (SVD). Based on observations, this algorithm combines the advantages and removes the disadvantages of these two transforms techniques. Also, we compare the results obtained from different wavelet filters against the number of signal processing attacks. This scheme is provides robust watermark without degradation of image quality.