An application of the principal component analysis to digital watermarking

摘要

Digital watermarking has been used as a solution to copyright protection of multimedia objects. Many schemes and algorithms have been proposed for the purpose. We propose a novel digital watermarking system that uses the Principal Component Analysis (PCA) for still images to embed and detect a watermark. A theoretical description of the method is included together with experimental results in order to validate the methodology presented. Simulation shows the performance of the method to be robust for image cropping and some attacks such as additive noise, low pass filtering, median filtering, and jpeg compression. Enhancement to this system with respect to robustness against various attacks is under investigation.