Advanced Technique of Digital Watermarking based on SVD-DWT-DCT and Arnold Transform

With the growing popularity of internet and digital media, we propose a method of non-blind transform domain watermarking which is based on the Direction Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) by using Arnold Transform method. DCT based watermarking techniques offers compression while DWT based compression offers scalability. Thus all these desirable properties can be utilized to create a new robust watermarking technique. The DCT coefficients of the DWT coefficients are used to embed the watermarking information. So we go for SVD based digital watermarking which is a method of authentication data embedding in image characteristics with expectation to show resiliency against different type of unintentional or deliberate attacks. Here discrete wavelet transform plays the important role of an efficient tool due to its multi-resolution capability. Along with this wavelet transform we mix up another very strong mathematical tool called the singular value decomposition (SVD). Though till date both of them have individually been used as a tool for watermarking of digital media, very few works have utilized their skills in tandem, especially in this area. Our work here by focuses on using Direction Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) by using Arnold Transform method which provide a hybrid technique developed for protection of the intellectual property with better robustness against the popular malicious attacks. This we have seen practically by attacking the watermarked image against simulated attacks and recovering the logo from it.