A novel image watermarking scheme based on support vector regression

Watermarking of Grayscale Images in DCT Domain Using Least-Squares Support Vector Regression

“…For each row vector of the data set, after having selected block coefficients of a particular block, we calculate their mean and it is used as a label for the corresponding row vector of the dataset. This dataset so formed is used to train the LS-SVR algorithm for following optimization parameters: 6 4 2 ( , , ) (10 ,10 ,10 )…”

“…This machine learning method has been widely and successfully applied for pattern classification and later extended for regression and function approximation, financial time series forecasting [3,4], text classification [9] etc. Several papers have been reported wherein conventional Support Vector Regression (SVRs) are used for image watermarking [6,7]. However, the SVM is perceived as a minimization problem with linear inequality constraints and has a solution to quadratic programming (QP) problem.…”

Digital watermark extraction using support vector machine with principal component analysis based feature reduction

“…Comparisons of the proposed technique with existing techniques [21,27,[30][31][32][33][34] using NC and BER as parameters of robustness are shown in Figs. 9-11, Tables 5, and 6.…”

“…Though, the technique is quite robust against several attacks, but, fails to resist JPEG compression, median filtering, average filtering, and scaling attacks effectively. Using regression of SVM, Wang et al [31] and Shen et al [32] presented robust watermarking schemes. Recently, Wang et al [33] proposed a robust image watermarking scheme based on the SVM and Gaussian Hermite moments (GHMs).…”

An associative watermarking based image authentication scheme

“…By taking account of the domain in which the watermark is embedded. Watermarking techniques can be classified into two broad categories: spatial domain and frequency domain techniques [3], [4]. In spatial domain schemes, the watermark is embedded by directly modifying the pixel values of the host image.…”