watermark

A watermarking scheme for color images that achieves optimality using the Transit Search Algorithm

This paper describes an innovative watermarking method that combines discrete wavelet transform (DWT), Hessenberg decomposition (HD), and singular value decomposition (SVD).  To do this, the main image and the watermark are divided into three channels (red, green and blue – RGB).  Then, each part of the main image individually undergoes the steps of DWT, HD and SVD, while the watermark components are processed by SVD.

Speech signal marking on the base of local magnitude and invariant segmentation

The paper suggests a new watermarking scheme based on invariant method of segmentation and the use of local magnitude for marking speech signals. The watermark is embedded in the chosen form at peaks with the spectrum magnitude of each nonoverlapping frame of audio signal.