A novel blind color image watermarking technique based on singular value decomposition and principal component analysis
Muhammad Imran, Bruce A. Harvey, Adnan Ali Memon · 2016
A novel blind color image watermarking technique using singular value decomposition and principal component analysis is proposed in this paper. In addition to two most difficult challenges; robustness and imperceptibility, two other concerns; capacity and security are given special attention in designing the proposed technique. The use of principal component analysis causes improvement in terms of imperceptibility and the utilization of singular value decomposition helped to get good results in respect of robustness and capacity. Whereas, a method adapted to choose elements for modification based on watermarks enhanced security. In this way four conditions are met as suggested by experimental results. To evaluate the performance, a number of experiments were performed, and for this reason different color images were used as host and watermark. The proposed scheme is compared with state-of-the-art watermarking techniques and achieved better results.