In this paper we propose three robust and semi-blind digital color image watermarking algorithms. These algorithms are based on hybrid transforms using the combination of Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD), Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD), Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Singular Va...

This paper introduces a fast texture descriptor, the LU-transform. It is inspired by previous methods, the SVD-transform and Eigen-transform, which yield measures of image roughness by considering the singular values or eigenvalues of matrices formed by copying greyvalues from a square patch around a pixel directly into a matrix of the same size. The SVD and Eigen-transforms therefore capture t...

In this paper a robust Hybridized Watermarking scheme based on Fast Walsh Hadamard transform (FWHT) and Singular Value Decomposition (SVD) using Genetic algorithm (GA) is presented. The host image is subjected to FWHT and SVD . The singular values of SVD of host image are modified with singular values of watermark. Multiple scaling factors are used in watermark embedding. The GA searches for op...

Digital watermarking is used to protect digital content such as images, audio and videos that have been tampered maliciously and with higher accuracy. In this paper, to maintain the quality of video and to ensure the ownership we propose a new SVDDWT watermarking embedding technique. Singular value decomposition (SVD) is an important transform technique in robust digital watermarking .We apply ...

This letter reports on the effectiveness of applying K-singular value decomposition (SVD) dictionary learning to electroencephalogram (EEG) compressed sensing framework with outlier detection and independent component analysis. Using K-SVD matrix our design parameter optimization, for example, at compression ratio four, we improved normalized mean square error by 31.4% compared that discrete co...

This paper presents a new technique for copyright protection of images using integer wavelet transform (IWT), singular value decomposition (SVD) and Arnold transform. We divide the cover image into four sub-images by picking alternate pixels from consecutive rows and columns and embed the copyright mark into the sub-image having the largest sum of singular values. The embedding is done by modif...

The paper proposes a digital watermarking algorithm for audio copyright protection combined characteristics of singular value decomposition (SVD) and discrete cosine transform (DCT). The audio are split into blocks, and each block are decomposed on discrete cosine transform (DCT), then the DCT coefficients are decomposed on singular value decomposition (SVD) transform and embedded the watermark...

In this paper, we present the results of classifying electroencephalographic (EEG) signals into four motor imagery tasks using a new method for feature extraction. This method is based on a signal-dependent orthogonal transform, referred to as LP-SVD, defined as the left singular vectors of the LPC filter impulse response matrix. Using a logistic tree based model classifier, the extracted featu...

basically the Watermarking process is use for hiding secret information for labeling digital picture. This paper presents a method of watermark embedding and extracting which is based on SVD (singular value decomposition) and Arnold Transform. The SVD is a linear algebra technique used for diagonalizable matrices and it transfer of convert most of the signal energy into very few singular values...

In order to protect the digital audio and video products copyright in the network, an improved audio blind watermarking algorithm scheme based on discrete wavelet transform (DWT) and singular value decomposition (SVD) is proposed. In the algorithm, an original audio is split as blocks and each block is decomposed on discrete wavelet transform for two degree, then first quarter audio approximate...