作者: Nazeer Muhammad , Nargis Bibi , Iqbal Qasim , Adnan Jahangir , Zahid Mahmood
DOI: 10.1007/S10044-017-0613-Z
关键词:
摘要: Most of the existing singular value decomposition-based digital watermarking methods are not robust to geometric rotation, which change pixels’ locations without maintaining corresponding changes pixel’s intensity values entire image and yield high computational cost. To answer this, we propose a algorithm using Hall property. In proposed method, watermark is factorized into lower-triangular, upper-triangular, permutation matrices. The matrix used as valid key for authentication rightful ownership image. product lower upper triangular matrices processed with few iterations Arnold transformation obtain scrambled data. data embedded particular sub-bands cover Wavelet transform. Our experiments show that highly reliable computationally efficient compared state-of-the-art based on decomposition.