An Improved HVC based blind watermarking algorithm using SVD and DWT

Different watermarking techniques are widely adapted to protect the digital content that is available on the Internet from piracy and infringement. Most of these algorithms for marking are not effectively attack-proof and robust. This paper presents an optimized watermarking algorithm for scale factors using human visual characteristics with singular value decomposition. The action follows SVD and Wavelet transform for breaking the image into block vectors. As a result, the embedding coefficient is determined to balance the watermark image value and extracted value. The derived methodology works on scaling factors, providing good results against noise and attacks.