Detection of watermarking methods using Steganalysis

This paper presents a singular value decomposition (SVD) based steganalysis technique to determine the watermarking method used to embed a watermark in an image. The detection is carried out in three steps. First, the proposed technique determines whether an image under consideration contains a watermark. If a watermark is detected, the embedding domain is revealed. Finally, the exact watermarking algorithm is named. The idea behind the method is that when the image is watermarked, relative and strict linear dependencies of rows/columns will differ from the original image and this can be modeled by the analysis of SVD. By using SVD, several features for the classification of the original and watermarked images are defined. The classification operation including both a linear and a SVM classifier is performed with a feature selection algorithm, which serves to reduce the number of features and to increase the detection performance. The performance of the proposed technique is promising and simulation results indicate that the chosen features can reliably detect the watermarking domain as well as the watermarking method.