Robust Digital Image Watermarking Algorithm against RST Attacks using Self-patch Correlation

In this paper, we propose an effective watermarking scheme using self-patch correlation based on Radon transform for image. The robustness against Rotation, Scaling, and Translation (RST) attacks is achieved using the translation property of the Radon transform and self-patch correlation. The Radon transform emphasizes and detects the linear characteristic to calculate the angle of image rotation. We insert random number blocks in the frequency domain to determine whether the image is scaled and predict the scale degree. The watermark is a hologram generated by quantization based on the cover image. We used hologram quantization to spread the watermark information and analyze the cover image in detail. The hologram is transformed by a discrete fractional random transform (DFRNT) with a random seed β. It makes the watermark security. We detect the watermark after restoring the image. The proposed method uses discrete wavelet transform (DWT) domain. DWT domain watermarking is robust against signal processing attacks. We have performed an intensive simulation to show the robustness in geometrical attacks. Keywords-image watermakring; radon transform; self-patch corrilation; digital wavelte transfotm; robust.